%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "David Rhead",
%%%     version         = "1.00",
%%%     date            = "17 Feb 1990",
%%%     time            = "17:00 GMT",
%%%     filename        = "test.bib",
%%%     address         = "Cripps Computing Centre,
%%%                        University of Nottingham,
%%%                        University Park,
%%%                        Nottingham,
%%%                        NG7 2RD,
%%%                        United Kingdom",
%%%     telephone       = "+44 602 484848 Ext 2670",
%%%     FAX             = "+44 602 588138",
%%%     checksum        = "05151 839 2908 25082",
%%%     email           = "David_Rhead at uk.ac.nott.vme (JANET)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "bibliography, citation, references",
%%%     supported       = "no",
%%%     docstring       = "This BibTeX database file contains entries
%%%                        designed for testing whether a BibTeX style
%%%                        file lays references out as recommended by
%%%                        certain authorities.  (Note, however, that
%%%                        the BS 1629 examples are from the 1976
%%%                        edition.  The file needs updating to use
%%%                        examples from the 1989 edition instead.)
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
%% @COMMENT{Some other standard works describing conventions for citations
%%      and bibliographies}

@Book{Eco:1990,
  author = 	 "Umberto Eco",
  title = 	 "The Limits of Interpretation",
  publisher = 	 "Indian University Press",
  year = 	 1990}

@Inproceedings{Martin-90,
  author = 	 "Jannik Strötgen and Michael Gertz",
  title = 	 "Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards",
  booktitle = "Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)",
  year = 	 "2012",
  month = 	 "may",
  date =     "23-25",
  pages = 	 "3746--3753",
  address =  "Istanbul, Turkey",
  editor = 	 "Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet U\v{g}ur Do\v{g}an and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis",
  publisher = "European Language Resource Association  (ELRA)",
  isbn = "978-2-9517408-7-7",
}

@Book{Chercheur-94,
  title =        "Case-Based Reasoning",
  author =       "J.L. Chercheur",
  publisher =    "Morgan Kaufman Publishers",
  year =         "1994",
  edition =      "2nd",
  address =      "San Mateo, CA",
}

@Article{CastorPollux-92,
  author =       "A. Castor and L. E. Pollux",
  title =        "The use of user modelling to guide inference and learning",
  journal =      "Applied Intelligence",
  volume =       "2(1)",
  pages =        "37--53",
  year =         "1992",
}


@inproceedings{lei2017swim,
  title={SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition.},
  author={Lei, Wenqiang and Wang, Xuancong and Liu, Meichun and Ilievski, Ilija and He, Xiangnan and Kan, Min-Yen},
  booktitle={IJCAI},
  pages={4026--4032},
  year={2017}
}



%% @COMMENT{Some examples taken from document describing BS 1629}

@Book{hoel-71-whole,
  author =       "Paul Gerhard Hoel",
  title =        "Elementary Statistics",
  publisher =    "Wiley",
  year =         "1971",
  series =       "Wiley series in probability and mathematical
                 statistics",
  address =      "New York, Chichester",
  edition =      "3rd",
  note =         "ISBN 0~471~40300",
}

@Inbook{hoel-71-portion,
  author =       "Paul Gerhard Hoel",
  title =        "Elementary Statistics",
  publisher =    "Wiley",
  year =         "1971",
  series =       "Wiley series in probability and mathematical
                 statistics",
  address =      "New York, Chichester",
  edition =      "3rd",
  note =         "ISBN 0~471~40300",
  pages =        "19--33",
}

@Book{singer-whole,
  year =         "1954--58",
  editor =       "Charles Joseph Singer and E. J. Holmyard and A. R.
                 Hall",
  title =        "A history of technology",
  address =      "London",
  publisher =    "Oxford University Press",
  note =         "5 vol.",
}


@Inproceedings{chomsky-73,
  author =       "N. Chomsky",
  year =         "1973",
  title =        "Conditions on Transformations",
  booktitle =    "A festschrift for {Morris Halle}",
  editor =       "S. R. Anderson and P. Kiparsky",
  publisher =    "Holt, Rinehart \& Winston",
  address =      "New York",
}

@Manual{bs-2570-manual,
  author =       "BSI",
  title =        "Natural Fibre Twines",
  organization = "British Standards Institution",
  address =      "London",
  edition =      "3rd",
  year =         "1973",
  note =         "BS 2570",
}

@Techreport{bs-2570-techreport,
  author =       "BSI",
  title =        "Natural Fibre Twines",
  institution =  "British Standards Institution",
  address =      "London",
  year =         "1973",
  type =         "BS",
  number =       "2570",
  note =         "3rd. edn.",
}



@Book{Jespersen:1922,
  author = 	 "Otto Jespersen",
  title = 	 "Language: Its Nature, Development, and Origin",
  publisher = 	 "Allen and Unwin",
  year = 	 1922}






@article{sanh2019distilbert,
  title={DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter},
  author={Sanh, Victor and Debut, Lysandre and Chaumond, Julien and Wolf, Thomas},
  journal={arXiv preprint arXiv:1910.01108},
  year={2019}
}

@article{nishida2022out,
  title={Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation},
  author={Nishida, Noriki and Matsumoto, Yuji},
  journal={Transactions of the Association for Computational Linguistics},
  volume={10},
  pages={127--144},
  year={2022},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}

@article{chung2022scaling,
  title={Scaling instruction-finetuned language models},
  author={Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and others},
  journal={arXiv preprint arXiv:2210.11416},
  year={2022}
}

@article{miyato2016adversarial,
  title={Adversarial training methods for semi-supervised text classification},
  author={Miyato, Takeru and Dai, Andrew M and Goodfellow, Ian},
  journal={arXiv preprint arXiv:1605.07725},
  year={2016}
}

@inproceedings{
he2021deberta,
title={DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION},
author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=XPZIaotutsD}
}


article{wolf2019huggingface,
  title={Huggingface's transformers: State-of-the-art natural language processing},
  author={Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien and Delangue, Clement and Moi, Anthony and Cistac, Pierric and Rault, Tim and Louf, R{\'e}mi and Funtowicz, Morgan and others},
  journal={arXiv preprint arXiv:1910.03771},
  year={2019}
}
@incollection{NEURIPS20199015,
title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
booktitle = {Advances in Neural Information Processing Systems 32},
pages = {8024--8035},
year = {2019},
publisher = {Curran Associates, Inc.},
url = {http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf}
}


@article{zhang2020aser,
    title = {{ASER}: {T}owards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities},
    journal = {Artificial Intelligence},
    volume = {309},
    pages = {103740},
    year = {2022},
    issn = {0004-3702},
    doi = {https://doi.org/10.1016/j.artint.2022.103740},
    url = {https://www.sciencedirect.com/science/article/pii/S0004370222000807},
    author = {Hongming Zhang and Xin Liu and Haojie Pan and Haowen Ke and Jiefu Ou and Tianqing Fang and Yangqiu Song},
    keywords = {Commonsense acquisition, Selectional preference, Eventualities},
    abstract = {Commonsense knowledge acquisition and reasoning have long been a core artificial intelligence problem. However, in the past, there has been a lack of scalable methods to collect commonsense knowledge. In this paper, we propose to develop principles for collecting commonsense knowledge based on selectional preference, which is a common phenomenon in human languages that has been shown to be related to semantics. We generalize the definition of selectional preference from one-hop linguistic syntactic relations to higher-order relations over linguistic graphs. Unlike previous commonsense knowledge definitions (e.g., ConceptNet), the selectional preference (SP) knowledge only relies on statistical distributions over linguistic graphs, which can be efficiently and accurately acquired from the unlabeled corpora with modern tools, rather than human-defined relations. As a result, acquiring SP knowledge is a much more scalable way of acquiring commonsense knowledge. Following this principle, we develop a large-scale eventuality (a linguistic term covering activity, state, and event)-based knowledge graph ASER, where each eventuality is represented as a dependency graph, and the relation between them is a discourse relation defined in shallow discourse parsing. The higher-order selectional preference over collected linguistic graphs reflects various kinds of commonsense knowledge. For example, dogs are more likely to bark than cats as the eventuality “dog barks” appears 14,998 times in ASER while “cat barks” only appears 6 times. “Be hungry” is more likely to be the reason rather than result of “eat food” as the edge 〈“be hungry,” Cause, “eat food”〉 appears in ASER while 〈“eat food,” Cause, “be hungry”〉 does not. Moreover, motivated by the observation that humans understand events by abstracting the observed events to a higher level and can thus transfer their knowledge to new events, we propose a conceptualization module on top of the collected knowledge to significantly boost the coverage of ASER. In total, ASER contains 648 million edges between 438 million eventualities. After conceptualization with Probase, a selectional preference based concept-instance relational knowledge base, our concept graph contains 15 million conceptualized eventualities and 224 million edges between them. Detailed analysis is provided to demonstrate its quality. All the collected data, APIs, and tools that can help convert collected SP knowledge into the format of ConceptNet are available at https://github.com/HKUST-KnowComp/ASER.}
}


@inproceedings{iruskieta-braud-2019-eusdisparser,
    title = "{E}us{D}is{P}arser: improving an under-resourced discourse parser with cross-lingual data",
    author = "Iruskieta, Mikel  and
      Braud, Chlo{\'e}",
    booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
    month = jun,
    year = "2019",
    address = "Minneapolis, MN",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-2709",
    doi = "10.18653/v1/W19-2709",
    pages = "62--71",
    abstract = "Development of discourse parsers to annotate the relational discourse structure of a text is crucial for many downstream tasks. However, most of the existing work focuses on English, assuming a quite large dataset. Discourse data have been annotated for Basque, but training a system on these data is challenging since the corpus is very small. In this paper, we create the first demonstrator based on RST for Basque, and we investigate the use of data in another language to improve the performance of a Basque discourse parser. More precisely, we build a monolingual system using the small set of data available and investigate the use of multilingual word embeddings to train a system for Basque using data annotated for another language. We found that our approach to building a system limited to the small set of data available for Basque allowed us to get an improvement over previous approaches making use of many data annotated in other languages. At best, we get 34.78 in F1 for the full discourse structure. More data annotation is necessary in order to improve the results obtained with these techniques. We also describe which relations match with the gold standard, in order to understand these results.",
}


% cross lingual transfer
@inproceedings{pfeiffer-etal-2020-mad,
    title = "{MAD-X}: {A}n {A}dapter-{B}ased {F}ramework for {M}ulti-{T}ask {C}ross-{L}ingual {T}ransfer",
    author = "Pfeiffer, Jonas  and
      Vuli{\'c}, Ivan  and
      Gurevych, Iryna  and
      Ruder, Sebastian",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.617",
    doi = "10.18653/v1/2020.emnlp-main.617",
    pages = "7654--7673",
    abstract = "The main goal behind state-of-the-art pre-trained multilingual models such as multilingual BERT and XLM-R is enabling and bootstrapping NLP applications in low-resource languages through zero-shot or few-shot cross-lingual transfer. However, due to limited model capacity, their transfer performance is the weakest exactly on such low-resource languages and languages unseen during pre-training. We propose MAD-X, an adapter-based framework that enables high portability and parameter-efficient transfer to arbitrary tasks and languages by learning modular language and task representations. In addition, we introduce a novel invertible adapter architecture and a strong baseline method for adapting a pre-trained multilingual model to a new language. MAD-X outperforms the state of the art in cross lingual transfer across a representative set of typologically diverse languages on named entity recognition and causal commonsense reasoning, and achieves competitive results on question answering. Our code and adapters are available at AdapterHub.ml.",
}

% adapter by language group for MT
@inproceedings{chronopoulou-etal-2023-language,
    title = "Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation",
    author = "Chronopoulou, Alexandra  and
      Stojanovski, Dario  and
      Fraser, Alexander",
    booktitle = "Proceedings of the The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.loresmt-1.5",
    pages = "59--72",
    abstract = "Large multilingual models trained with self-supervision achieve state-of-the-art results in a wide range of natural language processing tasks. Self-supervised pretrained models are often fine-tuned on parallel data from one or multiple language pairs for machine translation. Multilingual fine-tuning improves performance on low-resource languages but requires modifying the entire model and can be prohibitively expensive. Training a new adapter on each language pair or training a single adapter on all language pairs without updating the pretrained model has been proposed as a parameter-efficient alternative. However, the former does not permit any sharing between languages, while the latter shares parameters for all languages and is susceptible to negative interference. In this paper, we propose training language-family adapters on top of mBART-50 to facilitate cross-lingual transfer. Our approach outperforms related baselines, yielding higher translation scores on average when translating from English to 17 different low-resource languages. We also show that language-family adapters provide an effective method to translate to languages unseen during pretraining.",
}




@inproceedings{xue-etal-2021-mt5,
    title = "m{T}5: A Massively Multilingual Pre-trained Text-to-Text Transformer",
    author = "Xue, Linting  and
      Constant, Noah  and
      Roberts, Adam  and
      Kale, Mihir  and
      Al-Rfou, Rami  and
      Siddhant, Aditya  and
      Barua, Aditya  and
      Raffel, Colin",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.naacl-main.41",
    doi = "10.18653/v1/2021.naacl-main.41",
    pages = "483--498",
    abstract = "The recent {``}Text-to-Text Transfer Transformer{''} (T5) leveraged a unified text-to-text format and scale to attain state-of-the-art results on a wide variety of English-language NLP tasks. In this paper, we introduce mT5, a multilingual variant of T5 that was pre-trained on a new Common Crawl-based dataset covering 101 languages. We detail the design and modified training of mT5 and demonstrate its state-of-the-art performance on many multilingual benchmarks. We also describe a simple technique to prevent {``}accidental translation{''} in the zero-shot setting, where a generative model chooses to (partially) translate its prediction into the wrong language. All of the code and model checkpoints used in this work are publicly available.",
}
@inproceedings{chen-etal-2021-zero,
    title = "Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders",
    author = "Chen, Guanhua  and
      Ma, Shuming  and
      Chen, Yun  and
      Dong, Li  and
      Zhang, Dongdong  and
      Pan, Jia  and
      Wang, Wenping  and
      Wei, Furu",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.2",
    doi = "10.18653/v1/2021.emnlp-main.2",
    pages = "15--26",
    abstract = "Previous work mainly focuses on improving cross-lingual transfer for NLU tasks with a multilingual pretrained encoder (MPE), or improving the performance on supervised machine translation with BERT. However, it is under-explored that whether the MPE can help to facilitate the cross-lingual transferability of NMT model. In this paper, we focus on a zero-shot cross-lingual transfer task in NMT. In this task, the NMT model is trained with parallel dataset of only one language pair and an off-the-shelf MPE, then it is directly tested on zero-shot language pairs. We propose SixT, a simple yet effective model for this task. SixT leverages the MPE with a two-stage training schedule and gets further improvement with a position disentangled encoder and a capacity-enhanced decoder. Using this method, SixT significantly outperforms mBART, a pretrained multilingual encoder-decoder model explicitly designed for NMT, with an average improvement of 7.1 BLEU on zero-shot any-to-English test sets across 14 source languages. Furthermore, with much less training computation cost and training data, our model achieves better performance on 15 any-to-English test sets than CRISS and m2m-100, two strong multilingual NMT baselines.",
}



@book{Aho:72,
    author  = {Alfred V. Aho and Jeffrey D. Ullman},
    title   = {The Theory of Parsing, Translation and Compiling},
    year    = "1972",
    volume  = "1",
    publisher = {Prentice-Hall},
    address = {Englewood Cliffs, NJ}
}

@book{APA:83,
    author  = {{American Psychological Association}},
    title   = {Publications Manual},
    year    = "1983",
    publisher = {American Psychological Association},
    address = {Washington, DC}
}

@article{Chandra:81,
	author = {Ashok K. Chandra and Dexter C. Kozen and Larry J. Stockmeyer},
	year = "1981",
	title = {Alternation},
	journal = {Journal of the Association for Computing Machinery},
	volume = "28",
	number = "1",
	pages = "114--133",
	doi = "10.1145/322234.322243",
}

@inproceedings{andrew2007scalable,
  title={Scalable training of {$L_1$}-regularized log-linear models},
  author={Andrew, Galen and Gao, Jianfeng},
  booktitle={Proceedings of the 24th International Conference on Machine Learning},
  pages={33--40},
  year={2007},
  url={https://dl.acm.org/doi/abs/10.1145/1273496.1273501}
}

@book{Gusfield:97,
    author  = {Dan Gusfield},
    title   = {Algorithms on Strings, Trees and Sequences},
    year    = "1997",
    publisher = {Cambridge University Press},
    address = {Cambridge, UK},
    url={https://www.cambridge.org/core/books/algorithms-on-strings-trees-and-sequences/F0B095049C7E6EF5356F0A26686C20D3}
}

@article{rasooli-tetrault-2015,
    author    = {Mohammad Sadegh Rasooli and Joel R. Tetreault},
    title     = {Yara Parser: {A} Fast and Accurate Dependency Parser},
    journal   = {Computing Research Repository},
    volume    = {arXiv:1503.06733},
    year      = {2015},
    url       = {http://arxiv.org/abs/1503.06733},
    note    = {version 2}
}

@article{Ando2005,
	Acmid = {1194905},
	Author = {Ando, Rie Kubota and Zhang, Tong},
	Issn = {1532-4435},
	Issue_Date = {12/1/2005},
	Journal = {Journal of Machine Learning Research},
	Month = dec,
	Numpages = {37},
	Pages = {1817--1853},
	Publisher = {JMLR.org},
	Title = {A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data},
	Volume = {6},
	Year = {2005},
	url={https://www.jmlr.org/papers/volume6/ando05a/ando05a.pdf}
}

@article{ct1965,
  title={An algorithm for the machine calculation of complex {F}ourier series},
  author={Cooley, James W. and Tukey, John W.},
  journal={Mathematics of Computation},
  volume={19},
  number={90},
  pages={297--301},
  year={1965},
  url={https://www.ams.org/journals/mcom/1965-19-090/S0025-5718-1965-0178586-1/S0025-5718-1965-0178586-1.pdf}
}


@inproceedings{pfeiffer2020AdapterHub,
   title={Adapter{H}ub: {A} {F}ramework for {A}dapting {T}ransformers},
   author={Jonas Pfeiffer and
            Andreas R\"uckl\'{e} and
            Clifton Poth and
            Aishwarya Kamath and
            Ivan Vuli\'{c} and
            Sebastian Ruder and
            Kyunghyun Cho and
            Iryna Gurevych},
   booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020): Systems Demonstrations},
   year={2020},
   address = "Online",
   publisher = "Association for Computational Linguistics",
   url = "https://www.aclweb.org/anthology/2020.emnlp-demos.7",
   pages = "46--54",
}

@inproceedings{houlsby2019parameter,
  title={Parameter-efficient transfer learning for {NLP}},
  author={Houlsby, Neil and Giurgiu, Andrei and Jastrzebski, Stanislaw and Morrone, Bruna and De Laroussilhe, Quentin and Gesmundo, Andrea and Attariyan, Mona and Gelly, Sylvain},
  booktitle={International Conference on Machine Learning},
  pages={2790--2799},
  year={2019},
  organization={PMLR}
}


@article{lee2019would,
  title={What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning},
  author={Lee, Jaejun and Tang, Raphael and Lin, Jimmy},
  journal={arXiv preprint arXiv:1911.03090},
  year={2019}
}

@misc{phang2020jiant,
    author = {Jason Phang and Phil Yeres and Jesse Swanson and Haokun Liu and Ian F. Tenney and Phu Mon Htut and Clara Vania and Alex Wang and Samuel R. Bowman},
    title = {\texttt{jiant} 2.0: A software toolkit for research on general-purpose text understanding models},
    howpublished = {\url{http://jiant.info/}},
    year = {2020}
}









%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% COPY BIB FROM ANDIAMO


@InProceedings{ perret:integer:2016,
author = {Perret, Jérémy and Afantenos, Stergos and Asher, Nicholas and Morey, Mathieu},
 title = "Integer Linear Programming for Discourse Parsing",
    author = "Perret, J{\'e}r{\'e}my  and
      Afantenos, Stergos  and
      Asher, Nicholas  and
      Morey, Mathieu",
    booktitle = "Proceedings of the 2016 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2016",
    address = "San Diego, California",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N16-1013",
    doi = "10.18653/v1/N16-1013",
    pages = "99--109",
}

@article{asher:integrating:2016,
  title = "Integrating Type Theory and Distributional Semantics: A Case Study on Adjective{--}Noun Compositions",
    author = "Asher, Nicholas  and
      Van de Cruys, Tim  and
      Bride, Antoine  and
      Abrus{\'a}n, M{\'a}rta",
    journal = "Computational Linguistics",
    volume = "42",
    number = "4",
    month = dec,
    year = "2016",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/J16-4005",
    doi = "10.1162/COLI_a_00264",
    pages = "703--725",
}


@article{farah:evaluation:evaluation,
  title={Evaluation in discourse: A corpus-based study},
  author={Farah, Benamara Zitoune and Asher, Nicholas and Mathieu, Yvette Yannick and Popescu, Vladimir and Chardon, Baptiste},
  journal={Dialogue \& Discourse},
  volume={7},
  number={1},
  year={2016}
}



@inproceedings{morey:progress:2017,
title = "How much progress have we made on {RST} discourse parsing? A replication study of recent results on the {RST}-{DT}",
    author = "Morey, Mathieu  and
      Muller, Philippe  and
      Asher, Nicholas",
    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D17-1136",
    doi = "10.18653/v1/D17-1136",
    pages = "1319--1324"
}


@article{morey:dependency:2018,
    title = "A Dependency Perspective on {RST} Discourse Parsing and Evaluation",
    author = "Morey, Mathieu  and
      Muller, Philippe  and
      Asher, Nicholas",
    journal = "Computational Linguistics",
    volume = "44",
    number = "2",
    month = jun,
    year = "2018",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/J18-2001",
    doi = "10.1162/COLI_a_00314",
    pages = "197--235"
}




@InProceedings{ denis:predicting:2011,
    title={Predicting globally-coherent temporal structures from texts via endpoint inference and graph decomposition},
  author={Denis, Pascal and Muller, Philippe},
  booktitle={IJCAI-11-International Joint Conference on Artificial Intelligence},
  year={2011}
}


@Book{ mani:processing:2012,
editor = {Mani, Inderjeet and Muller, Philippe},
title = {Processing of temporal and spatial information in language},
year = {2012},
series = {Traitement Automatique des Langues},
publisher = {Association pour le Traitement Automatique des Langues (ATALA)},
volume = {53},
number = {2}
}

@Article{ tannier:evaluating:2011,
    title={Evaluating temporal graphs built from texts via transitive reduction},
  author={Tannier, Xavier and Muller, Philippe},
  journal={Journal of Artificial Intelligence Research},
  volume={40},
  pages={375--413},
  year={2011}
}

@Article{ afantenos:comparing:2018,
author = {Afantenos, Stergos and Peldzsus, Andreas and Stede, Manfred},
title = "{Comparing decoding mechanisms for parsing argumentative structures}",
journal = {Argument and Computation Journal},
publisher = {Taylor & Francis Group},
year = {2018},
volume = {9},
number = {3},
pages = {177--192}
}

@InProceedings{ afantenos:counter:2014,
author = {Afantenos, Stergos and Asher, Nicholas},
title = "{Counter-Argumentation and Discourse: A Case Study (regular paper)}",
booktitle = "{Frontiers and Connections between Argumentation Theory and Natural Language Processing (ArgNLP 2014), Forlì-Cesena, Italy, 21/07/14-25/07/14}",
editor = {Cabrio, Elena and Villata, Serena and Wyner, Adam},
year = {2014},
publisher = {CEUR-WS : Workshop proceedings},
pages = {11--16}
}


@inproceedings{huber:aligning:2019,
    author = {Huber, Laurine and Toussaint, Yannick and Roze, Charlotte and Dargnat, Mathilde and Braud, Chloé},
    title = {Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining}, 
    booktitle = {Proceedings of the 6th Workshop on Argument Mining (ACL)},
    year=2019,
    url = {https://www.aclweb.org/anthology/W19-4504.pdf}
    }
    

 
@inproceedings{muller:tony:2019,   
    author = { Muller, Philippe and Braud, Chloé and Morey, Mathieu},
    title = {ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents}, 
    booktitle = {Proceedings of the Workshop on Discourse Relation Parsing and Treebanking (NAACL)},
    url = {https://hal.archives-ouvertes.fr/hal-02374091/document},
    year = {2019}
    }

@inproceedings{braud:fraud:2017,
    author = {Braud, Chlo\'{e} and S{\o}gaard, Anders},
    title = {Is writing style predictive of scientific fraud?}, 
    booktitle = {Proceedings of the Workshop on Stylistic Variation (EMNLP)},
    year = {2017},
    url = {https://www.aclweb.org/anthology/W17-4905.pdf}
    }

@inproceedings{braud:syntax:2017,
    author = {Braud, Chlo\'{e} and Lacroix, Oph\'{e}lie and S{\o}gaard, Anders},
    title = {Does syntax help discourse segmentation? Not so much}, 
    booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark},
    year = {2017}
    }




@inproceedings{braud:multiview:2016,
    title = "Multi-view and multi-task training of {RST} discourse parsers",
    author = "Braud, Chlo{\'e}  and
      Plank, Barbara  and
      S{\o}gaard, Anders",
    booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://aclanthology.org/C16-1179",
    pages = "1903--1913",
}



@inproceedings{braud:comparing:2015,
    author = {Braud, Chlo\'{e} and Denis, Pascal},
    title = {Comparing Word Representations for Implicit Discourse Relation 
        Classification},
    booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Lisbon, Portugal},
    year = {2015}
}


@InProceedings{brauddenis_2014, 
    title = {Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification},
    author = {Braud, Chloé and Denis, Pascal},
    booktitle = {Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Dublin, Irland },
    year = {2014}
}

@article{braud:hal-01094346,
  TITLE = {{Identifier les relations discursives implicites en combinant donn{\'e}es naturelles et donn{\'e}es artificielles}},
  AUTHOR = {Braud, Chlo{\'e} and Denis, Pascal},
  JOURNAL = {{Traitement Automatique des Langues}},
  PUBLISHER = {{Lavoisier (Hermes Science Publications)}},
  VOLUME = {55},
  NUMBER = {1},
  PAGES = {31},
  YEAR = {2014}
}

@InProceedings{brauddenis_2013,
title = {Automatically identifying implicit discourse relations using annotated data and raw corpora},
author = {Braud, Chloé and Denis, Pascal},
booktitle = {Actes de Traitement Automatique des Langues Naturelles (TALN 2013), Sables d'Olonne, France (best paper award)},
year = {2013}
}

@InProceedings{fdtb_2012,
title = {Toward the {FDTB} : {F}rench {D}iscourse  {T}ree  {B}ank},
author = {Danlos, Laurence and Antolinos-Basso, Diégo and Braud, Chloé and Roze, Charlotte},
booktitle = {Actes de Traitement Automatique des Langues Naturelles (TALN 2012), Grenoble, France},
year = {2012}
}


@article{markowitz_linguistic_2015,
    title = {{Linguistic Obfuscation in Fraudulent Science}},
	author = {Markowitz, David M. and Hancock, Jeffrey T.},
    journal = {Journal of Language and Social Psychology},
    publisher = {SAGE Publications},
	year = {2015}
}

@inproceedings{levy2014dependency,
  title={Dependency-Based Word Embeddings.},
  author={Levy, Omer and Goldberg, Yoav},
  booktitle={ACL (2)},
  pages={302--308},
  year={2014}
}



@inproceedings{feng:impact:2014,
  title={The Impact of Deep Hierarchical Discourse Structures in the Evaluation of Text Coherence.},
  author={Feng, Vanessa Wei and Lin, Ziheng and Hirst, Graeme and Holdings, Singapore Press},
  booktitle={Proceedings of COLING},
  year={2014}
}

@InProceedings{bride:2015:generalisation,
  author    = {Bride, Antoine  and  Van de Cruys, Tim  and  Asher, Nicholas},
  title     = {A Generalisation of Lexical Functions for Composition in Distributional Semantics},
  booktitle = {Proceedings of ACL},
  year      = {2015}
}

@inproceedings{liu:implicit:2016,
  title={Implicit discourse relation classification via multi-task neural networks},
  author={Liu, Yang and Li, Sujian and Zhang, Xiaodong and Sui, Zhifang},
  booktitle={Proceedings of AAAI},
  year={2016}
}

% ++ ARGUMENT MINING

@inproceedings{peldszus:rhetorical:2016,
  title={Rhetorical structure and argumentation structure in monologue text},
  author={Peldszus, Andreas and Stede, Manfred},
  booktitle={Proceedings of ACL},
  year={2016}
}

@book{freeley:argumentation:2013,
  title={Argumentation and debate},
  author={Freeley, Austin J and Steinberg, David L},
  year={2013},
  publisher={Cengage Learning}
}

@inproceedings{habernal:exploiting:2015,
  title={Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse},
  author={Habernal, Ivan and Gurevych, Iryna},
  booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  pages={2127--2137},
  year={2015},
  organization={Citeseer}
}

@book{rieke:argumentation:1997,
  title={Argumentation and critical decision making},
  author={Rieke, Richard D and Sillars, Malcolm Osgood and Peterson, Tarla Rai},
  year={1997},
  publisher={Longman New York}
}

article{habernal:argumentation:2016,
  title={Argumentation Mining in User-Generated Web Discourse},
  author={Habernal, Ivan and Gurevych, Iryna},
  journal={arXiv preprint arXiv:1601.02403},
  year={2016}
}

@article{habernal2017argumentation,
  title={Argumentation mining in user-generated web discourse},
  author={Habernal, Ivan and Gurevych, Iryna},
  journal={Computational Linguistics},
  volume={43},
  number={1},
  pages={125--179},
  year={2017},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}



@inproceedings{lippi:argument:2015,
  title={Argument Mining: A Machine Learning Perspective},
  author={Lippi, Marco and Torroni, Paolo},
  booktitle={International Workshop on Theorie and Applications of Formal Argumentation},
  year={2015}
}
 
@article{habernal:argumentation:2014,
  title={Argumentation Mining on the Web from Information Seeking Perspective.},
  author={Habernal, Ivan and Eckle-Kohler, Judith and Gurevych, Iryna},
  journal={Frontiers and Connections between Argumentation Theory and Natural 
      Language Processing},
  year={2014},
  pages={26--39}
}

@inproceedings{jeong:multi:2010,
  title={Multi-document topic segmentation},
  author={Jeong, Minwoo and Titov, Ivan},
  booktitle={Proceedings of the 19th ACM international conference on Information and knowledge management},
  year={2010}
}

@inproceedings{stab:argumentation:2014,
  title={Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective.},
  author={Stab, Christian and Kirschner, Christian and Eckle-Kohler, Judith and Gurevych, Iryna},
  booktitle={Proceedings of ArgNLP},
  year={2014}
}

@article{cardoso:multi:2016,
  title={Multi-document summarization using discourse models},
  author={Cardoso, Paula Christina Figueira and Pardo, Thiago Alexandre Salgueiro},
  journal={Procesamiento del Lenguaje Natural},
  volume={56},
  pages={57--64},
  year={2016}
}

@inproceedings{	habernal:what:2016,
	author = {Habernal, Ivan and Gurevych, Iryna},
	title = {What makes a convincing argument? Empirical analysis and detecting
attributes of convincingness in Web argumentation},
	year = {2016},
	booktitle = {Proceedings of EMNLP}
}

@inproceedings{kirschner:linking:2015,
  title={Linking the thoughts: Analysis of argumentation structures in scientific publications},
  author={Kirschner, Christian and Eckle-Kohler, Judith and Gurevych, Iryna},
  booktitle={Proceedings of the 2nd Workshop on Argumentation Mining},
  year={2015}
}

@inproceedings{reed:language:2008,
  title={Language resources for studying argument},
  author={Reed, Chris and Mochales Palau, Raquel and Rowe, Glenn and Moens, Marie-Francine},
  booktitle={Proceedings of LREC},
  year={2008},
}

@inproceedings{alkhatib:cross:2016,
  title={Cross-Domain Mining of Argumentative Text through Distant Supervision},
  author={Al-Khatib, Khalid and Wachsmuth, Henning and Hagen, Matthias and K{\"o}hler, Jonas and Stein, Benno},
  booktitle={Proceedings of NAACL-HLT},
  year={2016}
}

@article{peldszus:argument:2013,
  title={From argument diagrams to argumentation mining in texts: a survey},
  author={Peldszus, Andreas and Stede, Manfred},
  journal={International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)},
  volume={7},
  number={1},
  pages={1--31},
  year={2013},
  publisher={IGI Global}
}

@article{lawrence2020argument,
  title={Argument mining: A survey},
  author={Lawrence, John and Reed, Chris},
  journal={Computational Linguistics},
  volume={45},
  number={4},
  pages={765--818},
  year={2020},
  publisher={MIT Press}
}





@InProceedings{udpipe:2016,
  author    = {Straka, Milan and Haji\v{c}, Jan and Strakov\'{a}},
  title     = {{UDPipe:} {T}rainable {P}ipeline for {P}rocessing {CoNLL-U} {F}iles {P}erforming {T}okenization, {M}orphological {A}nalysis, {POS} {T}agging and {P}arsing},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
  year      = {2016}
}




@misc{ud13,
 title = {Universal Dependencies 1.3},
 author = {Nivre, Joakim and Agi{\'c}, {\v Z}eljko and Ahrenberg, Lars and Aranzabe, Maria Jesus and Asahara, Masayuki and Atutxa, Aitziber and Ballesteros, Miguel and Bauer, John and Bengoetxea, Kepa and Berzak, Yevgeni and Bhat, Riyaz Ahmad and Bosco, Cristina and Bouma, Gosse and Bowman, Sam and Cebiroğlu Eryiğit, G{\"u}l{\c s}en and Celano, Giuseppe G. A. and {\c C}{\"o}ltekin, {\c C}ağrı and Connor, Miriam and de Marneffe, Marie-Catherine and Diaz de Ilarraza, Arantza and Dobrovoljc, Kaja and Dozat, Timothy and Droganova, Kira and Erjavec, Toma{\v z} and Farkas, Rich{\'a}rd and Foster, Jennifer and Galbraith, Daniel and Garza, Sebastian and Ginter, Filip and Goenaga, Iakes and Gojenola, Koldo and Gokirmak, Memduh and Goldberg, Yoav and G{\'o}mez Guinovart, Xavier and Gonz{\'a}les Saavedra,
 Berta and Gr{\=
u}z{\=i}tis, Normunds and Guillaume, Bruno and Haji{\v c}, Jan and Haug, Dag and Hladk{\'a}, Barbora and Ion, Radu and Irimia, Elena and Johannsen, Anders and Ka{\c s}ıkara, H{\"u}ner and Kanayama, Hiroshi and Kanerva, Jenna and Katz, Boris and Kenney, Jessica and Krek, Simon and Laippala, Veronika and Lam, Lucia and Lenci, Alessandro and Ljube{\v s}i{\'c}, Nikola and Lyashevskaya, Olga and Lynn, Teresa and Makazhanov, Aibek and Manning, Christopher and M{\u a}r{\u a}nduc, C{\u a}t{\u a}lina and Mare{\v c}ek, David and Mart{\'i}nez Alonso, H{\'e}ctor and Ma{\v s}ek, Jan and Matsumoto, Yuji and {McDonald}, Ryan and Missil{\"a}, Anna and Mititelu, Verginica and Miyao, Yusuke and Montemagni, Simonetta and Mori, Keiko Sophie and Mori, Shunsuke and Muischnek, Kadri and Mustafina, Nina and M{\"u}{\"u}risep, Kaili and Nikolaev, Vitaly and Nurmi, Hanna and Osenova, Petya and {\O}vrelid, Lilja and Pascual, Elena and Passarotti, Marco and Perez, Cenel-Augusto and Petrov, Slav and Piitulainen, Jussi and Plank, Barbara and Popel, Martin and Pretkalniņa, Lauma and Prokopidis, Prokopis and Puolakainen, Tiina and Pyysalo, Sampo and Ramasamy, Loganathan and Rituma, Laura and Rosa, Rudolf and Saleh,
 Shadi and Saul{\=i}te, Baiba and Schuster, Sebastian and Seeker, Wolfgang and Seraji, Mojgan and Shakurova, Lena and Shen, Mo and Silveira, Natalia and Simi, Maria and Simionescu, Radu and Simk{\'o}, Katalin and Simov, Kiril and Smith, Aaron and Spadine, Carolyn and Suhr, Alane and Sulubacak, Umut and Sz{\'a}nt{\'o}, Zsolt and Tanaka, Takaaki and Tsarfaty, Reut and Tyers, Francis and Uematsu, Sumire and Uria, Larraitz and van Noord, Gertjan and Varga, Viktor and Vincze, Veronika and Wang, Jing Xian and Washington, Jonathan North and {\v Z}abokrtsk{\'y}, Zden{\v e}k and Zeman, Daniel and Zhu, Hanzhi},
 url = {http://hdl.handle.net/11234/1-1699},
 note = {{LINDAT}/{CLARIN} digital library at Institute of Formal and Applied Linguistics, Charles University in Prague},
 copyright = {Licence Universal Dependencies v1.3},
 year = {2016} }




@article{wu:new:2016,
author = {Wu, Yunfang and Wan, Fuqiang and Xu, Yifeng and L{\"u}, Xueqiang},
title = {A New Ranking Method for {C}hinese Discourse Tree Building},
journal = {Acta Scientiarum Naturalium Universitatis Pekinensis},
year = {2016}, 
volume = {52(1)},
pages = {65-74} 
}

@inproceedings{cardoso:cstnews:2011,
   author = {Cardoso, Paula C.F. and Maziero, Erick G. and Jorge, María Lucía Castro and Seno, Eloize R.M. and Di Felippo, Ariani and Rino, Lucia Helena Machado and Nunes, Maria das Gracas Volpe and Pardo, Thiago A. S.},
   title = {{CSTN}ews - A discourse-annotated corpus for single and multi-document summarization of news texts in {B}razilian {P}ortuguese},
   booktitle = {Proceedings of the 3rd RST Brazilian Meeting},
   pages = {88-105},
   year = {2011}
}

@inproceedings{zeldes:gum:2016,
author = {Zeldes, Amir},
year = {2016},
title = {The {GUM} Corpus: Creating Multilayer Resources in the Classroom},
booktitle = {Proceedings of LREC}
}

@InProceedings{redeker:multi:2012,
    title = "Multi-Layer Discourse Annotation of a {D}utch Text Corpus",
    author = "Redeker, Gisela  and
      Berzl{\'a}novich, Ildik{\'o}  and
      van der Vliet, Nynke  and
      Bouma, Gosse  and
      Egg, Markus",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/887_Paper.pdf",
    pages = "2820--2825",
    abstract = "We have compiled a corpus of 80 Dutch texts from expository and persuasive genres, which we annotated for rhetorical and genre-specific discourse structure, and lexical cohesion with the goal of creating a gold standard for further research. The annota{\^A}{\neg}tions are based on a segmentation of the text in elementary discourse units that takes into account cues from syntax and punctuation. During the labor-intensive discourse-structure annotation (RST analysis), we took great care to thoroughly reconcile the initial analyses. That process and the availability of two independent initial analyses for each text allows us to analyze our disagreements and to assess the confusability of RST relations, and thereby improve the annotation guidelines and gather evidence for the classification of these relations into larger groups. We are using this resource for corpus-based studies of discourse relations, discourse markers, cohesion, and genre differences, e.g., the question of how discourse structure and lexical cohesion interact for different genres in the overall organization of texts. We are also exploring automatic text segmentation and semi-automatic discourse annotation.",
}

@INPROCEEDINGS{vliet:building:2011,
    author = {Vliet, Nynke Van Der and Berzlánovich, Ildik{\'o} and Bouma, Gosse and Egg, Markus and Redeker, Gisela},
    title = {Building a discourse-annotated {D}utch text corpus},
    booktitle = {S. Dipper and H. Zinsmeister (Eds.), Beyond Semantics, Bochumer Linguistische Arbeitsberichte 3},
    year = {2011},
    pages = {157--171}
}

@InProceedings{iruskieta:basque:2013,
	author = { Iruskieta, Mikel and Aranzabe, Mar\'{i}a J. 
        and Diaz de Ilarraza, Arantza
        and Gonzalez-Dios, Itziar and Lersundi, Mikel 
        and Lopez de la Calle, Oier},
    title = {The {RST} {B}asque {T}reeBank: an online search interface to check rhetorical relations},
    booktitle = {Proceedings of the 4th Workshop RST and Discourse Studies},
    year = {2013}
   }
   
   
@InProceedings{iruskieta:qualitative:2015,
	author={Iruskieta, Mikel and da Cunha, Iria and Taboada, Maite},
	title={A qualitative comparison method for rhetorical structures: identifying different discourse structures in multilingual corpora},
	booktitle={Proceedings of LREC},
	year={2015}
}

@inproceedings{dacunha:spanish:2011,
    title = "On the Development of the {RST} {S}panish Treebank",
    author = "da Cunha, Iria  and
      Torres-Moreno, Juan-Manuel  and
      Sierra, Gerardo",
    booktitle = "Proceedings of the 5th Linguistic Annotation Workshop",
    month = jun,
    year = "2011",
    address = "Portland, Oregon, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W11-0401",
    pages = "1--10",
}

@inproceedings{subalalitha:approach:2012,
   author = {Subalalitha, C N and Parthasarathi, Ranjani},
   title = {An approach to discourse parsing using sangati and {R}hetorical {S}tructure {T}heory},
   booktitle = {Proceedings of the Workshop on Machine Translation and Parsing in Indian Languages (MTPIL-2012)},
   year = {2012}
}


@article{dacunha:comparing:2010,
    author = {da Cunha, Iria and Iruskieta, Mikel},
    title = {Comparing rhetorical structures in different languages: The influence of translation strategies},
    journal = {Discourse Studies},
    year = {2010}, 
    volume = {12},
    pages = {563-598} 
}




@article{pardo:development:2008,
  title={On the development and evaluation of a {B}razilian {P}ortuguese discourse parser},
  author={Pardo, Thiago A. S. and Nunes, Maria das Gra{\c{c}}as Volpe},
  journal={Revista de Inform{\'a}tica Te{\'o}rica e Aplicada},
  volume={15},
  number={2},
  pages={43--64},
  year={2008}
}

@article{collovini:summit:2007,
  title={Summ-it: Um corpus anotado com informa{\c{c}}oes discursivas visandoa sumariza{\c{c}}ao autom{\'a}tica},
  author={Collovini, Sandra and Carbonel, Thiago I and Fuchs, Juliana Thiesen and Coelho, Jorge C{\'e}sar and Rino, L{\'u}cia and Vieira, Renata},
  journal={Proceedings of TIL},
  year={2007}
  }

@article{dacunha:diseg:2010,
  title={Di{S}eg: Un segmentador discursivo autom{\'a}tico para el espa{\~n}ol},
  author={da Cunha, Iria and SanJuan, Eric and Torres-Moreno, Juan-Manuel and Lloberas, Marina and Castell{\'o}n, Irene},
  journal={Procesamiento del lenguaje natural},
  volume={45},
  pages={145--152},
  year={2010}
}


@inproceedings{dacunha:discourse:2010,
  title={Discourse segmentation for Spanish based on shallow parsing},
  author={Da Cunha, Iria and SanJuan, Eric and Torres-Moreno, Juan-Manuel and Lloberes, Marina and Castell{\'o}n, Irene},
  booktitle={Mexican International Conference on Artificial Intelligence},
  pages={13--23},
  year={2010},
  organization={Springer}
}

@techreport{pardo:construccao:2003,
  title={A Constru{\c{c}}{\~a}o de um Corpus de Textos Cient{\'\i}ficos em {P}ortugu{\^e}s do {B}rasil e sua Marca{\c{c}}{\~a}o Ret{\'o}rica},
  author={Pardo, Thiago A. S. and Nunes, Maria das Gra{\c{c}}as Volpe},
  year={2003},
  institution={Technical Report}
}

@article{pardo:relaccoes:2004,
  title={Rela{\c{c}}{\~o}es Ret{\'o}ricas e seus Marcadores Superficiais: An{\'a}lise de um Corpus de Textos Cient{\'\i}ficos em {P}ortugu{\^e}s do {B}rasil},
  author={Pardo, Thiago A. S. and Nunes, Maria das Gra{\c{c}}as Volpe},
  journal={Relat{\'o}rio T{\'e}cnico NILC},
  year={2004}
}









@book{du2000santa,
  title={Santa Barbara Corpus of Spoken American English},
  author={Du Bois, John W},
  year={2000},
  publisher={University of California, Santa Barbara Center for the Study of Discourse}
}


@incollection{jin:ea:2013,
  title={Shared structure learning for multiple tasks with multiple views},
  author={Jin, Xin and Zhuang, Fuzhen and Wang, Shuhui and He, Qing and Shi, Zhongzhi},
  booktitle={Machine Learning and Knowledge Discovery in Databases},
  pages={353--368},
  year={2013},
  publisher={Springer}
}

@InProceedings{alrfou:polyglot:2013,
  author    = {Al-Rfou, Rami  and  Perozzi, Bryan  and  Skiena, Steven},
  title     = {Polyglot: Distributed Word Representations for Multilingual NLP},
  booktitle = {Proceedings of Conll},
  year      = {2013} 
}

@Article{pustejovsky:temporal:2005,
    author={Pustejovsky, James and Knippen, Robert and Littman, Jessica and Saur{\'i}, Roser},
    title={Temporal and Event Information in Natural Language Text},
    journal="Language Resources and Evaluation",
    year={2005},
    volume=39,
    number=2,
    pages={123--164}
}


@inproceedings{danlos:discourse:2011,
  TITLE = {{Discourse Relations and Propositional Attitudes}},
  AUTHOR = {Danlos, Laurence and Rambow, Owen},
  BOOKTITLE = {{CID 2011 - Fourth International workshop on Constraints in Discourse}},
  YEAR = {2011}
}



@inproceedings{sauri:factbank:2009,
  author = {Saur\'{i}, Roser and Pustejovsky, James},
  Booktitle = {Proceedings of LREC},
  pages = {227-268},
  title = {FactBank: a corpus annotated with event factuality.},
  volume = 43,
  year = 2009
}



@inproceedings{Caruana:93,
	Author = {Rich Caruana},
	Booktitle = {Proceedings of ICML},
	Title = {Multitask learning: a knowledge-based source of inductive bias},
	Year = {1993}}

   @article{Collobert:ea:11,
	Author = {Collobert, Ronan and Weston, Jason and Bottou, L{\'e}on and Karlen, Michael and Kavukcuoglu, Koray and Kuksa, Pavel},
	Journal = {The Journal of Machine Learning Research},
	Pages = {2493--2537},
	Publisher = {JMLR},
	Title = {Natural language processing (almost) from scratch},
	Volume = {12},
	Year = {2011}}

@inproceedings{xuanbach-leminh-shimazu:2012,
    title = "A Reranking Model for Discourse Segmentation using Subtree Features",
    author = "Xuan Bach, Ngo  and
      Le Minh, Nguyen  and
      Shimazu, Akira",
    booktitle = "Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    month = jul,
    year = "2012",
    address = "Seoul, South Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W12-1623",
    pages = "160--168",
}

@article{Huang:ea:15,
    author = { Huang, Zhiheng and Xu, Wei  and Yu, Kai},
    year = {2015},
    title = {Bidirectional lstm-crf models for sequence tagging},
    journal = {arXiv preprint arXiv:1508.01991}
}

@article{Hochreiter:Schmidhuber:97,
 author = {Hochreiter, Sepp and Schmidhuber, J\"{u}rgen},
 title = {Long Short-Term Memory},
 journal = {Neural Computation},
 volume = {9},
 number = {8},
 year = {1997},
 pages = {1735--1780},
 publisher = {MIT Press}
} 

@ARTICLE{graves:framewisephoneme:2005,
    author = {Alex Graves and Jürgen Schmidhuber},
    title = {Framewise phoneme classification with bidirectional lstm and other neural network architectures},
    journal = {Neural Networks},
    year = {2005},
    pages = {5--6}
}

@inproceedings{Zhou:Xu:15,
  author    = {Zhou, Jie and
                Xu, Wei},
  title     = {End-to-end learning of semantic role labeling using recurrent neural
               networks},
  booktitle = {Proceedings of ACL},
  year      = {2015}
}

@inproceedings{Zhang:ea:15,
  author = {Zhang, Shu and Zheng, Dequan and Hu, Xinchen and Yang, Ming},
  booktitle = {Proceedings of PACLIC},
  title = {Bidirectional Long Short-Term Memory Networks for Relation Classification.},
  year = 2015
}

@inproceedings{shallow:conll:2015,
  author    = {Nianwen Xue and
               Hwee Tou Ng and
               Sameer Pradhan and
               Rashmi Prasad and
               Christopher Bryant and
               Attapol Rutherford},
  title     = {The CoNLL-2015 Shared Task on Shallow Discourse Parsing},
  booktitle = {Proceedings of CoNLL},
  year      = {2015}
}

@inproceedings{shallow:conll:2016,
    title = "{C}o{NLL} 2016 Shared Task on Multilingual Shallow Discourse Parsing",
    author = "Xue, Nianwen  and
      Ng, Hwee Tou  and
      Pradhan, Sameer  and
      Rutherford, Attapol  and
      Webber, Bonnie  and
      Wang, Chuan  and
      Wang, Hongmin",
    booktitle = "Proceedings of the {C}o{NLL}-16 shared task",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/K16-2001",
    doi = "10.18653/v1/K16-2001",
    pages = "1--19",
}








% ++ IDENTIFICATION RELATIONS IMPLICITES

@inproceedings{marcu:unsupervised:2002,
    author = {Marcu, Daniel and Echihabi, Abdessamad},
    title = {An Unsupervised Approach to Recognizing Discourse Relations},
    booktitle = {Proceedings of ACL},
    year = {2002}
} 

@inproceedings{sporleder:exploiting:2005,
    author = {Sporleder, Caroline and Lascarides, Alex},
    title = {Exploiting Linguistic Cues to Classify Rhetorical Relations},
    booktitle = {Proceedings of RANLP-05},
    year = {2005}
}


@inproceedings{blair:building:2007,
    author = {Blair-Goldensohn, Sasha and McKeown, Kathleen R. and Rambow, Owen C.},
    title = {Building and refining rhetorical-semantic relation models},
    booktitle = {Proceedings of NAACL HLT},
    year = {2007}
}

@article{sporleder:using:2008,
    author = {Sporleder, Caroline and Lascarides, Alex},
    title = {Using Automatically Labelled Examples to Classify Rhetorical Relations: 
        An Assessment},
    journal = {Natural Language Engineering},
    year = {2008},
    pages = {369--416},
    volume = {14}
}

@article{sporleder:lexical:2008,
    author = {Sporleder, Caroline},
    title = {Lexical Models to Identify Unmarked Discourse Relations: Does 
        WordNet help?},
    journal = {JLCL},
    year = {2008},
    pages = {20--33},
    volume = {23}
}
 
@inproceedings{pitler:automati:2009,
    author = {Pitler, Emily and Louis, Annie and Nenkova, Ani},
    title = {Automatic sense prediction for implicit discourse relations in text},
    booktitle = {Proceedings of ACL-IJCNLP},	
    year = {2009}
}

@inproceedings{lin:recognizing:2009, 
    author = {Lin, Ziheng and Kan, Min-Yen and Ng, Hwee Tou},
    title = {Recognizing Implicit Discourse Relations in the Penn Discourse Treebank},
    booktitle = {Proceedings of EMNLP},
    year = {2009}
}

@inproceedings{zhou:predicting:2010,
    author = {Zhou, Zhi-Min and Xu, Yu and Niu, Zheng-Yu and Lan, Man and Su, 
        Jian and Tan, Chew Lim},
    title = {Predicting Discourse Connectives for Implicit Discourse Relation 
        Recognition},
    booktitle = {Proceedings of the International Conference on Computational Linguistics},
    year = {2010}
} 

@inproceedings{louis:using:2010,
    author = {Louis, Annie and Joshi, Aravind and Prasad, Rashmi and Nenkova, Ani},
    title = {Using entity features to classify implicit discourse relations},
    booktitle = {Proceedings of SIGDIAL},
    year = {2010}
}

@inproceedings{park:improving:2012,
    author = {Park, Joonsuk and Cardie, Claire},
    title = {Improving Implicit Discourse Relation Recognition Through Feature 
        Set Optimization},
    booktitle = {Proceedings of SIGDIAL Conference},
    year = {2012}
}
 
@inproceedings{wang:implicit:2012,
    author = {Wang, Xun and Li, Sujian and Li, Jiwei and Li, Wenjie},
    title = {Implicit Discourse Relation Recognition by Selecting Typical 
        Training Examples},
    booktitle = {Proceedings of COLING 2012: Technical Papers},
    year = {2012}
}

@inproceedings{hong:cross:2012,
    author = {Hong, Yu and Zhou, Xiaopei and Che, Tingting and Yao, Jianmin 
     and Zhu, Qiaoming and Zhou, Guodong},
    title = {Cross-argument Inference for Implicit Discourse Relation Recognition},
    booktitle = {Proceedings of the ACM International Conference on 
        Information and Knowledge Management},
    year = {2012}
} 


@inproceedings{braud:identification:2013,
  author = {Braud, Chlo{\'e} and Denis, Pascal},
  title = {Identification automatique des relations discursives "implicites" {\`a} 
      partir de donn{\'e}es annot{\'e}es et de corpus bruts},
  booktitle = {Proceedings of TALN},
  year = {2013}
}

@inproceedings{biran:aggregated:2013,
  author    = {Biran, Or and McKeown, Kathleen},
  title     = {Aggregated Word Pair Features for Implicit Discourse Relation 
      Disambiguation},
  booktitle = {Proceedings of ACL},
  year      = {2013}
}

@inproceedings{lan:leveraging:2013,
  author    = {Lan, Man  and  Xu, Yu  and  Niu, Zhengyu},
  title     = {Leveraging Synthetic Discourse Data via Multi-task Learning 
      for Implicit Discourse Relation Recognition},
  booktitle = {Proceedings of ACL},
  year      = {2013}
}

@article{braud:identifier:2014,
  TITLE = {Identifier les relations discursives implicites en combinant donn{\'e}es naturelles et donn{\'e}es artificielles},
  AUTHOR = {Braud, Chlo{\'e} and Denis, Pascal},
  JOURNAL = {Traitement Automatique des Langues},
  PUBLISHER = {{Lavoisier (Hermes Science Publications)}},
  VOLUME = {55},
  NUMBER = {1},
  PAGES = {135--165},
  YEAR = {2014}
}

@inproceedings{li:addressing:2014,
    author = {Li, Junyi Jessy and Nenkova, Ani},
    title = {Addressing Class Imbalance for Improved Recognition of Implicit 
        Discourse Relations},
    booktitle = {Proceedings of SIGDIAL},
    year = {2014}
}

@inproceedings{li:reducing:2014,
    author = {Li, Junyi Jessy and Nenkova, Ani},
    title = {Reducing Sparsity Improves the Recognition of Implicit Discourse Relations},
    booktitle = {Proceedings of SIGDIAL},
    year = {2014}
}

@inproceedings{braud:combining:2014,
  author = {Braud, Chlo{\'e} and Denis, Pascal},
  title = {Combining Natural and Artificial Examples to Improve Implicit Discourse 
      Relation Identification},
  booktitle = {Proceedings of COLING},
  year = {2014}
}

@inproceedings{rutherford:discovering:2014,
  author    = {Rutherford, Attapol and Xue, Nianwen},
  title     = {Discovering Implicit Discourse Relations Through Brown Cluster Pair
               Representation and Coreference Patterns},
  booktitle = {Proceedings of EACL},
  year      = {2014}
}

@article{ji:vector:2014,
  author    = {Ji, Yangfeng and Eisenstein, Jacob},
  title     = {One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations},
  journal   = {TACL},
  year      = {2014}
}

@inproceedings{rutherford:improving:2015,
  author    = {Rutherford, Attapol and Xue, Nianwen},
  title     = {Improving the inference of implicit discourse relations via 
      classifying explicit discourse connectives},
  booktitle = {Proceedings of NAACL-HLT},
  year      = {2015}
}


@phdthesis{braud:phd:2015,
  author       = {Braud, Chlo\'{e}}, 
  title        = {Identification automatique des relations discursives implicites à partir de corpus annotés et de données brutes},
  school       = {Université Paris 7},
  year         = 2015
}

@inproceedings{shi2019next,
  title={Next sentence prediction helps implicit discourse relation classification within and across domains},
  author={Shi, Wei and Demberg, Vera},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={5794--5800},
  year={2019}
}


@inproceedings{braud:learning:2016,
    author = {Braud, Chlo\'{e} and Denis, Pascal},
    title = {Learning Connective-based Word Representations for Implicit Discourse Relation Identification},
    booktitle = {Proceedings of EMNLP},
    year = {2016}
}

@inproceedings{braud:comparing:2016,
    author = {Braud, Chlo\'{e}},
    title = {Comparing Discourse Annotation Schemes from an {NLP} Perspective},
    booktitle = {TextLink Second Action Conference},
    year = {2016}
}

@inproceedings{kim2020implicit,
  title={Implicit discourse relation classification: We need to talk about evaluation},
  author={Kim, Najoung and Feng, Song and Gunasekara, Chulaka and Lastras, Luis},
  booktitle={Proceedings of ACL},
  year={2020}
}

@inproceedings{liang:extending:2020,
  title={Extending Implicit Discourse Relation Recognition to the PDTB-3},
  author={Liang, Li and Zhao, Zheng and Webber, Bonnie},
  booktitle={Proceedings of the First Workshop on Computational Approaches to Discourse},
  year={2020}
}

@inproceedings{liu:importance:2020,
  title={On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification},
  author={Liu, Xin and Ou, Jiefu and Song, Yangqiu and Jiang, Xin},
  booktitle={Proceedings of IJCAI},
  year={2020}
}


% ++ IDENTIFICATION RELATIONS EXPLICITES

@inproceedings{hutchinson:acquiring:2004,
    author = {Hutchinson, Ben},
    title = {Acquiring the Meaning of Discourse Markers},
    booktitle = {Proceedings of ACL},
    year = {2004}
}

@inproceedings{miltsakaki:experiments:2005,
    author = {Miltsakaki, Eleni and Dinesh, Nikhil and Prasad, Rashmi and 
        Joshi, Aravind and Webber, Bonnie},
    title = {Experiments on sense annotations and sense disambiguation of discourse connectives},
    booktitle = {In Proceedings of the Workshop on Treebanks and Linguistic Theories},
    year = {2005}
}

@inproceedings{pitler:easily:2008,
    title = "Easily Identifiable Discourse Relations",
    author = "Pitler, Emily  and
      Raghupathy, Mridhula  and
      Mehta, Hena  and
      Nenkova, Ani  and
      Lee, Alan  and
      Joshi, Aravind",
    booktitle = "Coling 2008: Companion volume: Posters",
    month = aug,
    year = "2008",
    address = "Manchester, UK",
    publisher = "Coling 2008 Organizing Committee",
    url = "https://aclanthology.org/C08-2022",
    pages = "87--90",
}


@inproceedings{pitler:using:2009,
    author = {Pitler, Emily and Nenkova,  Ani},
    title = {Using Syntax to Disambiguate Explicit Discourse Connectives in Text},
    booktitle = {Proceedings of the ACL-IJCNLP},
    year = {2009}
}

@inproceedings{versley:discovery:2010,
    author = {Versley, Yannick},
    title = {Discovery of Ambiguous and Unambiguous Discourse Connectives via 
        Annotation Projection},
    booktitle = {Proceedings of the Workshop on the Annotation and Exploitation of 
        Parallel Corpora},
    year = {2010}
}

@inproceedings{versley:towards:2011,
    author = {Versley, Yannick}, 
    title = {Towards finer-grained tagging of discourse connectives},
    booktitle = {Proceedings of the Workshop Beyound Semantics: Corpus-based 
        Investigations of Pragmatic and Discourse Phenomena},
    year = {2011}
}
 
@inproceedings{alsaif:modelling:2011,
    author = {Al-Saif, Amal and Markert, Katja},
    title = {Modelling Discourse Relations for Arabic},
    booktitle = {Proceedings of EMNLP},
    year = {2011}
}

@inproceedings{sogaard:disambiguating:2013,
    title = "Disambiguating Explicit Discourse Connectives without Oracles",
    author = "Johannsen, Anders  and
      S{\o}gaard, Anders",
    booktitle = "Proceedings of the Sixth International Joint Conference on Natural Language Processing",
    month = oct,
    year = "2013",
    address = "Nagoya, Japan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://aclanthology.org/I13-1134",
    pages = "997--1001",
}




% ++ IDENTIFICATION RELATIONS

@inproceedings{nomoto:learning:1999,
    author = {Nomoto, Tadashi  and Matsumoto, Yuji},
    title = {Learning discourse relations with active data selection},
    booktitle = {Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora},
    year = {1999}
}
 
@inproceedings{lapata:inferring:2004,
    author = {Lapata, Mirella and Lascarides, Alex},
    title = {Inferring Sentence-internal Temporal Relations},
    booktitle = {Proceedings of HLT-NAACL},
    year = {2004}
}
 
@inproceedings{wellner:classification:2006,
    author = {Wellner, Ben and Pustejjovsky, James and Havasi, Catherine and 
        Rumshisky, Anna and Saur\`{i}, Roser},
    title = {Classification of Discourse Coherence Relations: An Exploratory Study u
        sing Multiple Knowledge Sources}, 
    booktitle = {Proceedings of the SIGdial Workshop on Discourse and Dialogue},
    year = {2006}
}

@inproceedings{saito:using:2006,
    author = {Saito, Manami and Yamamoto, Kazuhide and Sekine, Satoshi},
    title = {Using Phrasal Patterns to Identify Discourse Relations},
    booktitle = {Proceedings of HLT-NAACL},
    year = {2006}
}
 
@inproceedings{sporleder:exploiting:2007,
    author = {Sporleder, Caroline and Lascarides, Alex},
    title = {Exploiting linguistic cues to classify rhetorical relations},
    booktitle = {Proceedings of RANLP},	
    year = {2005}
}

@inproceedings{prasad:realization:2010,
    author = {Prasad, Rashmi and Joshi, Aravind and Webber, Bonnie},
    title = {Realization of Discourse Relations by Other Means: Alternative Lexicalizations},
    booktitle = {Proceedings of the 23rd International Conference on Computational Linguistics},
    year = {2010}
}

@inproceedings{wang:kernel:2010,
    author = {Wang, WenTing and Su, Jian and Tan, Chew Lim},
    title = {Kernel Based Discourse Relation Recognition with Temporal Ordering Information},
    booktitle = {Proceedings of ACL},
    year = {2010}
}
 
@inproceedings{hernault:semisupervised:2010,
  author = {Hernault, Hugo and Bollegala, Danushka and Ishizuka, Mitsuru},
  booktitle = {Proceedings of EMNLP},
  title = {A Semi-Supervised Approach to Improve Classification of Infrequent 
      Discourse Relations Using Feature Vector Extension},
  year = {2010}
}

@inproceedings{chiarcos:towards:2012,
    author = {Chiarcos, Christian},
    title = {Towards the Unsupervised Acquisition of Discourse Relations},
    booktitle = {Proceedings of ACL},
    year = {2012}
}

@inproceedings{versley:subgraph:2013,
    author    = {Versley, Yannick},
    title     = {Subgraph-based Classification of Explicit  and  Implicit Discourse Relations},
    booktitle = {Proceedings of IWCS},
    year      = {2013}
}

@inproceedings{li:assessing:2014,
    author = {Li, Junyi Jessy and Carpuat, Marine and Nenkova, Ani},
    title = {Assessing the Discourse Factors that Influence the Quality of 
        Machine Translation},
    booktitle = {Proceedings of ACL},
    year = {2014}
}

@inproceedings{roze:aspects:2019,
  title = "Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification",
    author = "Roze, Charlotte  and
      Braud, Chlo{\'e}  and
      Muller, Philippe",
    booktitle = "Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue",
    month = sep,
    year = "2019",
    address = "Stockholm, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-5950",
    doi = "10.18653/v1/W19-5950",
    pages = "432--441"
}



% ++ SEGMENTATION DISCOURS

@inproceedings{wellner:automatically:2007,
    author = {Wellner, Ben and Pustejovsky, James},
    title = {Automatically Identifying the Arguments of Discourse Connectives},
    booktitle = {Proceedings of EMNLP-CoNLL},
    year = {2007}
}

@inproceedings{fisher:utility:2007,
    author = {Fisher, Seeger and Roark, Brian},
    title = {The utility of parse-derived features for automatic discourse 
        segmentation},
    booktitle = {Proceedings ACL},
    year = {2007}
}

@inproceedings{subba:automatic:2007,
	author = {Subba, Rajen  and Di Eugenio, Barbara},
	title = {Automatic Discourse Segmentation using Neural Networks},
    booktitle = {Workshop on the Semantics and Pragmatics of Dialogue},
    year = {2007}
    }
 
@inproceedings{elwell:discourse:2008,
    author = {Elwell, Robert and Baldridge, Jason},
    title = {Discourse Connective Argument Identification with Connective Specific Rankers},
    booktitle = {Proceedings of ICSC},
    year = {2008}
}

@inproceedings{tofiloski:syntactic:2009,
    author = {Tofiloski, Milan and Brooke, Julian and Taboada, Maite},
    title = {A Syntactic and Lexical-based Discourse Segmenter},
    booktitle = {Proceedings of ACL-IJCNLP},
    year = {2009}
} 
 
 @inproceedings{vliet:syntax:2010,
author= {van der Vliet, Nynke},
title = {Syntax-based discourse segmentation of {D}utch text},
booktitle = {15th Student Session, ESSLLI},
year = {2010}
}

 
@inproceedings{afantenos:learning:2010,
    author = {Afantenos, Stergos and Denis, Pascal and Muller, Philippe and 
        Danlos, Laurence},
    title = {Learning Recursive Segments for Discourse Parsing},
    booktitle = {Proceedings of LREC},
    year = {2010}
}

@inproceedings{maziero:dizer:2011,
  title={Di{Z}er 2.0-an adaptable on-line discourse parser},
  author={Maziero, Erick G. and Pardo, Thiago A. S. and da Cunha, Iria and Torres-Moreno, Juan-Manuel and SanJuan, Eric},
  booktitle={Proceedings of 3rd RST Brazilian Meeting},
  pages={1--17},
  year={2011}
}

@article{cunha:diseg:2012,
  author    = {da Cunha, Iria and SanJuan, Eric and Torres{-}Moreno, Juan{-}Manuel 
      and Lloberes, Marina and Castell{\'{o}}n, Irene},
  title     = {Di{S}eg 1.0: The first system for {S}panish discourse segmentation},
  journal   = {Expert Syst. Appl.},
  volume    = {39},
  number    = {2},
  pages     = {1671--1678},
  year      = {2012}
}

@inproceedings{stepanov:comparative:2013,
    author = {Stepanov, Evgeny A. and Riccardi, Giuseppe},
    title = {Comparative Evaluation of Argument Extraction Algorithms in 
        Discourse Relation Parsing},
    booktitle = {Proceedings of the International Conference on Parsing Technologies},
    year = {2013}
}

@incollection{syeed:identifying:2013,
    author={Ibn Faiz, Syeed and Mercer, Robert E.},
    title={Identifying Explicit Discourse Connectives in Text},
    booktitle={Advances in Artificial Intelligence},
    year={2013},
    volume={7884},
    series={Lecture Notes in Computer Science},
    editor={Zaïane, Osmar R. and Zilles, Sandra},
    publisher={Springer Berlin Heidelberg},
    pages={64--76}
}

@InProceedings{kong:constituent:2014,
  author    = {Kong, Fang  and  Ng, Hwee Tou  and  Zhou, Guodong},
  title     = {A Constituent-Based Approach to Argument Labeling with Joint 
      Inference in Discourse Parsing},
  booktitle = {Proceedings of EMNLP},
  year      = {2014}
}

@InProceedings{sidarenka:Applying:2015,
    author = {Sidarenka, Uladzimir and Bisping, Matthias and Stede, Manfred},
    title = "{Applying Rhetorical Structure Theory to Twitter Conversations}",
    booktitle = {Proceedings of DiSpol 2015},
    year = {2015}
}


@article{sidarenka:discourse:2015,
  title={Discourse Segmentation of German Texts},
  author={Sidarenka, Uladzimir and Peldszus, Andreas and Stede, Manfred},
  journal={Journal of
Language Technology and Computational Linguistics},
  pages={71–-98},
  volume={30(1)},
  year={2015}
}



@book{stede:annotation:2015,
  title     = {Handbuch Textannotation},
  series    = {Potsdamer Kommentarkorpus 2.0},
  editor    = {Manfred Stede},
  isbn      = {978-3-86956-343-5},
  year      = {2015},
}


@inproceedings{braud:segmentation:2017,
    title = "Cross-lingual and cross-domain discourse segmentation of entire documents",
    author = "Braud, Chlo{\'e}  and
      Lacroix, Oph{\'e}lie  and
      S{\o}gaard, Anders",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P17-2037",
    doi = "10.18653/v1/P17-2037",
    pages = "237--243",
    abstract = "Discourse segmentation is a crucial step in building end-to-end discourse parsers. However, discourse segmenters only exist for a few languages and domains. Typically they only detect intra-sentential segment boundaries, assuming gold standard sentence and token segmentation, and relying on high-quality syntactic parses and rich heuristics that are not generally available across languages and domains. In this paper, we propose statistical discourse segmenters for five languages and three domains that do not rely on gold pre-annotations. We also consider the problem of learning discourse segmenters when no labeled data is available for a language. Our fully supervised system obtains 89.5{\%} F1 for English newswire, with slight drops in performance on other domains, and we report supervised and unsupervised (cross-lingual) results for five languages in total.",
}
@inproceedings{muller2019tony,
  title = "{T}o{N}y: Contextual embeddings for accurate multilingual discourse segmentation of full documents",
    author = "Muller, Philippe  and
      Braud, Chlo{\'e}  and
      Morey, Mathieu",
    booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
    month = jun,
    year = "2019",
    address = "Minneapolis, MN",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-2715",
    doi = "10.18653/v1/W19-2715",
    pages = "115--124",
}

@incollection{NEURIPS2019_9015,
title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
booktitle = {Advances in Neural Information Processing Systems 32},
pages = {8024--8035},
year = {2019},
publisher = {Curran Associates, Inc.},
url = {http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf}
}

@inproceedings{zeldes2019disrpt,
    title = "The {DISRPT} 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection",
    author = "Zeldes, Amir  and
      Das, Debopam  and
      Maziero, Erick Galani  and
      Antonio, Juliano  and
      Iruskieta, Mikel",
    booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
    month = jun,
    year = "2019",
    address = "Minneapolis, MN",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-2713",
    doi = "10.18653/v1/W19-2713",
    pages = "97--104",
    abstract = "In 2019, we organized the first iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task on Elementary Discourse Unit Segmentation and Connective Detection. In this paper we review the data included in the task, which cover 2.6 million manually annotated tokens from 15 datasets in 10 languages, survey and compare submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.",
}
@inproceedings{zeldes2021disrpt,
    title = "The {DISRPT} 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification",
    author = "Zeldes, Amir  and
      Liu, Yang Janet  and
      Iruskieta, Mikel  and
      Muller, Philippe  and
      Braud, Chlo{\'e}  and
      Badene, Sonia",
    booktitle = "Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.disrpt-1.1",
    doi = "10.18653/v1/2021.disrpt-1.1",
    pages = "1--12",
    abstract = "In 2021, we organized the second iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task (Discourse Relation Parsing and Treebanking). Adding to the 2019 tasks on Elementary Discourse Unit Segmentation and Connective Detection, this iteration of the Shared Task included for the first time a track on discourse relation classification across three formalisms: RST, SDRT, and PDTB. In this paper we review the data included in the Shared Task, which covers nearly 3 million manually annotated tokens from 16 datasets in 11 languages, survey and compare submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.",
}

@inproceedings{zeldes2019introduction,
  title={Introduction to discourse relation parsing and treebanking (DISRPT): 7th workshop on rhetorical structure theory and related formalisms},
  author={Zeldes, Amir and Das, Debopam and Maziero, Erick Galani and Antonio, Juliano and Iruskieta, Mikel},
  booktitle={Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019},
  pages={1--6},
  year={2019}
}

@inproceedings{gessler2021discodisco,
    title = "{D}is{C}o{D}is{C}o at the {DISRPT}2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection",
    author = "Gessler, Luke  and
      Behzad, Shabnam  and
      Liu, Yang Janet  and
      Peng, Siyao  and
      Zhu, Yilun  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.disrpt-1.6",
    doi = "10.18653/v1/2021.disrpt-1.6",
    pages = "51--62",
    abstract = "This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification. Our system, called DisCoDisCo, is a Transformer-based neural classifier which enhances contextualized word embeddings (CWEs) with hand-crafted features, relying on tokenwise sequence tagging for discourse segmentation and connective detection, and a feature-rich, encoder-less sentence pair classifier for relation classification. Our results for the first two tasks outperform SOTA scores from the previous 2019 shared task, and results on relation classification suggest strong performance on the new 2021 benchmark. Ablation tests show that including features beyond CWEs are helpful for both tasks, and a partial evaluation of multiple pretrained Transformer-based language models indicates that models pre-trained on the Next Sentence Prediction (NSP) task are optimal for relation classification.",
}


@inproceedings{stepanov2016unitn,
    title = "{U}ni{TN} End-to-End Discourse Parser for {C}o{NLL} 2016 Shared Task",
    author = "Stepanov, Evgeny  and
      Riccardi, Giuseppe",
    booktitle = "Proceedings of the {C}o{NLL}-16 shared task",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/K16-2012",
    doi = "10.18653/v1/K16-2012",
    pages = "85--91",
}



% ++ PARSER DISCOURS

@inproceedings{sumita:discourse:1992,
    author = {Sumita, Kazuo and Ono, Kenji and Chino, T. and Ukita, Teruhiko 
        and Amano, Shin'ya},
    title = {A discourse structure analyzer for Japanese text},
    booktitle ={Proceeding of International Conference on Fifth Generation 
        Computer Systems},
    year = {1992}
}

@inproceedings{corston:beyond:1998,
    author = {Corston-Oliver, Simon},
    title = {Beyond string matching and cue phrases: Improving efficiency and 
        coverage in discourse analysis},
    booktitle = {AAAI Spring Symposium on Intelligent Text Summarization},
    year = {1998}
}

@phdthesis{marcu:rhetorical:1997,
   author = {Marcu, Daniel},
  title = {The Rhetorical Parsing, Summarization, and Generation of Natural 
       Language Texts},
   school = {University of Toronto},
   year = {1997}
} 
 
@inproceedings{marcu:decisionbased:99,
  author = {Marcu, Daniel},
  title = {A Decision-Based Approach to Rhetorical Parsing},
  booktitle = {Proceedings of ACL},
  year = {1999}
}

@article{marcu:rhetorical:2000,
    author = {Marcu, Daniel},
    title = {The Rhetorical Parsing of Unrestricted Texts: A Surface-based Approach},
    journal = {Computational Linguistics},
    year = {2000}
}
 
@book{marcu:theory:2000,
 author = {Marcu, Daniel},
 title = {The Theory and Practice of Discourse Parsing and Summarization},
 year = {2000},
 isbn = {0262133725},
 publisher = {MIT Press},
 address = {Cambridge, MA, USA},
} 

@article{schilder:robust:2002,
    author = {Schilder, Frank},
    title = {Robust discourse parsing via discourse markers, topicality and position},
    journal = {Natural Language Engineering},
    year = {2002}
}
 
@inproceedings{soricut:sentence:2003,
    author = {Soricut, Radu  and Marcu, Daniel},
    title = {Sentence level discourse parsing using syntactic and lexical 
        information},
    booktitle = {Proceedings of NAACL},
    year = {2003}
}

@mastersthesis{reitter:rhetorical:2003,
    author = {Reitter, David},
    title = {Rhetorical analysis with rich-feature support vector models},
    school = {University of Potsdam},    
    year = {2003}
}

@inproceedings{thanh:generating:2004,
  author = {{Le Thanh}, Huong and Abeysinghe, Geetha and Huyck, Christian},
  title = {Generating Discourse Structures for Written Text},
  booktitle = {Proceedings of COLING},
  year = {2004}
}

@inproceedings{baldridge:probabilistic:2005,
    author = {Baldridge, Jason and Lascarides, Alex},
    title = {Probabilistic head-driven parsing for discourse structure},
    booktitle = {Proceedings of the Conference on Computational Natural Language Learning},
    year = {2005}
}

@article{widlocher:modelisation:2007,
    author = {Widlöcher, Antoine},
    title = {Modélisation par contraintes pour la description et l'analyse 
        automatique de la structure du discours},
    journal = {Description linguistique pour le traitement automatique du 
français},
    year = {2007}
}
 
@inproceedings{theijssen:features:2008,
    author = {Theijssen, Daphne and van Halteren, Hans and Verberne, Suzan and 
        Boves, Lou},
    title = {Features for automatic discourse analysis of paragraphs},
    booktitle = {{C}omputational {L}inguistics in the {N}etherlands 2007: 
        {S}elected papers from the eighteenth {CLIN} meeting},
    year = {2008}
}
 
@inproceedings{subba:effective:2009,
    author = {Subba, Rajen and Di Eugenio, Barbara},
    title = {An Effective Discourse Parser That Uses Rich Linguistic Information},
    booktitle = {Proceedings of ACL-HLT},
    year = {2009}
} 
 
@inproceedings{sagae:analysis:2009,
    author = {Sagae, Kenji},
    title = {Analysis of Discourse Structure with Syntactic Dependencies and 
        Data-Driven Shift-Reduce Parsing},
    booktitle = {Proceedings of IWPT 2009},
    year = {2009}
}

@inproceedings{duverle:novel:2009,
    author = {duVerle, David and Prendinger, Helmut},
    title = {A Novel Discourse Parser Based on Support Vector Machine Classification},
    booktitle = {Proceedings of ACL/IJCNLP},
    year = {2009}
}

@article{duverle:hilda:2010,
    author = {Hernault, Hugo and Prendinger, Helmut and duVerle, David A. and 
        Ishizuka, Mitsuru },
    title = {{HILDA}: A Discourse Parser Using Support Vector Machine Classification},
    journal = {Dialogue and Discourse},
    year = {2010},
    pages = {1--33},
    volume = {1}
}

@techreport{lin:pdtb:2010,
    author = {Lin, Ziheng and Ng, Hwee Tou and Kan, Min-Yen},
    title = {A PDTB-styled end-to-end discourse parser},
    institution = {National University of Singapore},
    year = {2010}
}

@inproceedings{prasad:exploiting:2010,
    author = {Prasad, Rashmi and Joshi, Aravind and Webber, Bonnie},
    title = {Exploiting Scope for Shallow Discourse Parsing},
    booktitle = {Proceedings of LREC},
    year = {2010}
}

@inproceedings{ghosh:shallow:2011,
    author		= {Ghosh, Sucheta and Johansson, Richard and Riccardi, 
        Giuseppe and Tonelli, Sara},
    title		= {Shallow Discourse Parsing with Conditional Random Fields},
    booktitle	= {Proceedings of 5th International Joint Conference on Natural Language Processing},
    year		= {2011}
}

@inproceedings{ghosh:global:2012,
    author = {Ghosh, Sucheta and Riccardi, Giuseppe and Johansson, Richard},
    title = {Global Features for Shallow Discourse Parsing},
    booktitle = {Proceedings of SIGDIAL},
    year = {2012}
}
 
@inproceedings{muller:constrained:2012,
    author = {Muller, Philippe and Afantenos, Stergos and Denis, Pascal and Asher, Nicholas},
    title = {Constrained decoding for text-level discourse parsing},	
    booktitle = {Proceedings of COLING},
    year = {2012}
}

@inproceedings{feng:textlevel:2012,
    author = {Feng, Vanessa Wei and Hirst, Graeme},
    title = {Text-level Discourse Parsing with Rich Linguistic Features},
    booktitle = {Proceedings of ACL},
    year = {2012}
}

@inproceedings{ghosh:improving:2012,
    title = {Improving the Recall of a Discourse Parser by Constraint-based Postprocessing},
    author = {Ghosh, Sucheta and Johansson, Richard and Riccardi, Giuseppe and Tonelli, Sara},
    booktitle = {Proceedings of LREC},
    year = {2012}
}

@phdthesis{ghosh:endtoend:2012,
    author = {Ghosh, Sucheta},
    title = {End-to-End Discourse Parsing with Cascaded Structured Prediction},
    school = {University of Trento},
    year = {2012}
}

@inproceedings{joty:novel:2012,
    author = {Joty, Shafiq R. and Carenini, Giuseppe and Ng, Raymond T.},
    title = {A Novel Discriminative Framework for Sentence-Level Discourse Analysis},
    booktitle = {Proceedings of EMNLP},
    year = {2012}
}

@inproceedings{joty:combining:2013,
    author = {Joty, Shafiq R. and Carenini, Giuseppe and Ng, Raymond T. 
        and Mehdad, Yashar},
    title = {Combining Intra- and Multi-sentential Rhetorical Parsing 
        for Document-level Discourse Analysis},
    booktitle = {Proceedings of ACL},
    year = {2013}
}

@inproceedings{ji:representation:2014,
    author = {Ji, Yangfeng and Eisenstein, Jacob},
    title = {Representation Learning for Text-level Discourse Parsing},
    booktitle = {Proceedings of ACL},
    year = {2014}
}


@inproceedings{feng:linear:2014,
  author = {Feng, Vanessa Wei and Hirst, Graeme},
  title = {A Linear-Time Bottom-Up Discourse Parser with Constraints and 
      Post-Editing},
  booktitle = {Proceedings of ACL},
  year = {2014}
}

@inproceedings{li:recursive:2014,
  author = {Li, Jiwei and Li, Rumeng and Hovy, Eduard H.},
  title = {Recursive Deep Models for Discourse Parsing.},
  booktitle = {Proceedings of EMNLP},
  year = {2014}
}

@inproceedings{joty:discriminative:2014,
  author = {Joty, Shafiq and Moschitti, Alessandro},
  title = {Discriminative Reranking of Discourse Parses Using Tree Kernels},
  booktitle = {Proceedings of EMNLP},
  year = {2014}
}

@article{lin:pdtb:2014,
    author = {Lin, Ziheng and Ng, Hwee Tou and Kan, Min-Yen },
    title = {A PDTB-styled end-to-end discourse parser},
    journal = {Natural Language Engineering},
    volume = {20},
    year = {2014},
    pages = {151--184}
}

@inproceedings{li:textlevel:2014,
  author = {Li, Sujian and Wang, Liang and Cao, Ziqiang and Li, Wenjie},
  booktitle = {Proceedings of ACL},
  title = {Text-level Discourse Dependency Parsing},
  year = {2014}
}

@inproceedings{stepanov:towards:2014,
    title = {Towards Cross-Domain PDTB-Style Discourse Parsing},
    author = {Stepanov, Evgeny and Riccardi, Giuseppe},
    year = {2014},
    booktitle = {EACL Workshop on Health Text Mining and Information Analysis}
}

@inproceedings{maziero:adaptation:2015,
   author = {Maziero, Erick G. and Hirst, Graeme and Pardo, Thiago A. S.},
   title = {Adaptation of discourse parsing models for {P}ortuguese language},
   booktitle = {Proceedings of the Brazilian Conference on Intelligent Systems
(BRACIS)},
   year = {2015}
}

@inproceedings{xue:conll:2015,
    author = {Xue, Nianwen and Ng, Hwee Tou and Pradhan, Sameer and
        Prasad, Rashmi and Bryant, Christopher and Rutherford, Attapol},
    year = {2015},
    title = {The CoNLL-2015 shared task on shallow discourse parsing},
    booktitle = {Proceedings of CoNLL}
}

@article{joty:codra:2015,
  title={CODRA: A Novel Discriminative Framework for Rhetorical Analysis},
  author={Joty, Shafiq and Carenini, Giuseppe and Ng, Raymond T.},
  volume={41:3},
  journal = {Computational Linguistics},
  publisher={MIT Press},
  year={2015}
}

@inproceedings{afantenos:discourse:2015,
    title = {Discourse parsing for multi-party chat dialogues},
    author={Afantenos, Stergos and Kow, Eric and Asher, Nicholas and Perret, J\'{e}r\'{e}my},
    booktitle = {Proceedings of EMNLP},
    year = {2015}
}

@inproceedings{hayashi:empirical:2016,
  title = "Empirical comparison of dependency conversions for {RST} discourse trees",
    author = "Hayashi, Katsuhiko  and
      Hirao, Tsutomu  and
      Nagata, Masaaki",
    booktitle = "Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    month = sep,
    year = "2016",
    address = "Los Angeles",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W16-3616",
    doi = "10.18653/v1/W16-3616",
    pages = "128--136",
}




@inproceedings{li:attention:2016,
  title={Discourse parsing with attention-based hierarchical neural networks},
  author={Li, Qi and Li, Tianshi and Chang, Baobao},
  booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  pages={362--371},
  year={2016}
}

@inproceedings{li2016discourse,
  title={Discourse parsing with attention-based hierarchical neural networks},
  author={Li, Qi and Li, Tianshi and Chang, Baobao},
  booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  pages={362--371},
  year={2016}
}


@inproceedings{braud:crosslingual:2017,
    title = "Cross-lingual {RST} Discourse Parsing",
    author = "Braud, Chlo{\'e}  and
      Coavoux, Maximin  and
      S{\o}gaard, Anders",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/E17-1028",
    pages = "292--304",
    abstract = "Discourse parsing is an integral part of understanding information flow and argumentative structure in documents. Most previous research has focused on inducing and evaluating models from the English RST Discourse Treebank. However, discourse treebanks for other languages exist, including Spanish, German, Basque, Dutch and Brazilian Portuguese. The treebanks share the same underlying linguistic theory, but differ slightly in the way documents are annotated. In this paper, we present (a) a new discourse parser which is simpler, yet competitive (significantly better on 2/3 metrics) to state of the art for English, (b) a harmonization of discourse treebanks across languages, enabling us to present (c) what to the best of our knowledge are the first experiments on cross-lingual discourse parsing.",
}


@inproceedings{zhao:joint:2017,
  title={Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank},
  author={Zhao, Kai and Huang, Liang},
  booktitle={Proceedings of EMNLP},
  year={2017}
}

@inproceedings{wang:two:2017,
  title={A two-stage parsing method for text-level discourse analysis},
  author={Wang, Yizhong and Li, Sujian and Wang, Houfeng},
  booktitle={Proceedings of ACL},
  year={2017}
}

@inproceedings{liu:learning:2017,
  title={Learning contextually informed representations for linear-time discourse parsing},
  author={Liu, Yang and Lapata, Mirella},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1289--1298},
  year={2017}
}

@inproceedings{yu2018transition,
  title = "Transition-based Neural {RST} Parsing with Implicit Syntax Features",
    author = "Yu, Nan  and
      Zhang, Meishan  and
      Fu, Guohong",
    booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/C18-1047",
    pages = "559--570"
}

@inproceedings{liu2019hierarchical,
  title = "Hierarchical Pointer Net Parsing",
    author = "Liu, Linlin  and
      Lin, Xiang  and
      Joty, Shafiq  and
      Han, Simeng  and
      Bing, Lidong",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1093",
    doi = "10.18653/v1/D19-1093",
    pages = "1007--1017"
}

@inproceedings{lin2019unified,
  title = "A Unified Linear-Time Framework for Sentence-Level Discourse Parsing",
    author = "Lin, Xiang  and
      Joty, Shafiq  and
      Jwalapuram, Prathyusha  and
      Bari, M Saiful",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1410",
    doi = "10.18653/v1/P19-1410",
    pages = "4190--4200"
}

@inproceedings{iruskieta:eusdisparser:2019,
    title = "{E}us{D}is{P}arser: improving an under-resourced discourse parser with cross-lingual data",
    author = "Iruskieta, Mikel  and
      Braud, Chlo{\'e}",
    booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
    month = jun,
    year = "2019",
    address = "Minneapolis, MN",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-2709",
    doi = "10.18653/v1/W19-2709",
    pages = "62--71"
}

@inproceedings{mabona2019neural,
  title={Neural Generative Rhetorical Structure Parsing},
  author={Mabona, Amandla and Rimell, Laura and Clark, Stephen and Vlachos, Andreas},
  booktitle={Proceedings of EMNLP-IJCNLP},
  year={2019}
}

@inproceedings{shi:deep:2019,
  title={A deep sequential model for discourse parsing on multi-party dialogues},
  author={Shi, Zhouxing and Huang, Minlie},
  booktitle={Proceedings of AAAI},
  volume={33},
  pages={7007--7014},
  year={2019}
}

@inproceedings{badene:weak:2019,
  title = "Weak Supervision for Learning Discourse Structure",
    author = "Badene, Sonia  and
      Thompson, Kate  and
      Lorr{\'e}, Jean-Pierre  and
      Asher, Nicholas",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1234",
    doi = "10.18653/v1/D19-1234",
    pages = "2296--2305",
}


@inproceedings{kobayashi:topdown:2020, 
    title={Top-down RST parsing utilizing granularity levels in documents},
  author={Kobayashi, Naoki and Hirao, Tsutomu and Kamigaito, Hidetaka and Okumura, Manabu and Nagata, Masaaki},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={05},
  pages={8099--8106},
  year={2020}
}

@inproceedings{zhang2020top,
  title={A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure},
  author={Zhang, Longyin and Xing, Yuqing and Kong, Fang and Li, Peifeng and Zhou, Guodong},
  booktitle={Proceedings of ACL},
  year={2020}
}



@inproceedings{guz:unleashing:2020,
  title={Unleashing the Power of Neural Discourse Parsers-A Context and Structure Aware Approach Using Large Scale Pretraining},
  author={Guz, Grigorii and Huber, Patrick and Carenini, Giuseppe},
  booktitle={Proceedings of COLING},
  year={2020}
}

@inproceedings{liu:multilingual:2020,
    title = "Multilingual Neural {RST} Discourse Parsing",
    author = "Liu, Zhengyuan  and
      Shi, Ke  and
      Chen, Nancy",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2020.coling-main.591",
    doi = "10.18653/v1/2020.coling-main.591",
    pages = "6730--6738",
    abstract = "Text discourse parsing plays an important role in understanding information flow and argumentative structure in natural language. Previous research under the Rhetorical Structure Theory (RST) has mostly focused on inducing and evaluating models from the English treebank. However, the parsing tasks for other languages such as German, Dutch, and Portuguese are still challenging due to the shortage of annotated data. In this work, we investigate two approaches to establish a neural, cross-lingual discourse parser via: (1) utilizing multilingual vector representations; and (2) adopting segment-level translation of the source content. Experiment results show that both methods are effective even with limited training data, and achieve state-of-the-art performance on cross-lingual, document-level discourse parsing on all sub-tasks.",
}
% ++ DISCOURS ET TRADUCTION

@inproceedings{danlos:traduction:2011,
    author = {Danlos, Laurence and Roze, Charlotte},
    title = {Traduction (automatique) des connecteurs de discours},
    booktitle = {Proceedings of TALN},
    year = {2011}
}

@inproceedings{meyer:disambiguating:2011,
    author = {Meyer, Thomas},
    title = {Disambiguating Temporal-contrastive Discourse Connectives for Machine 
        Translation},
    booktitle = {Proceedings of ACL},
    year = {2011}
} 

@inproceedings{meyer:disambiguating:2011b,
    author = {Meyer, Thomas and Roze, Charlotte and Cartoni, Bruno and 
        Laurence, Danlos and Zufferey, Sandrine and Popescu-Belis, Andrei},
    title = {Disambiguating discourse connectives using parallel corpora: senses vs. 
        translations},
    booktitle = {Corpus Linguistics 2011},
    year = {2011}
}

@inproceedings{Meyer:using:2012,
  title = {Using Sense-labeled Discourse Connectives for Statistical Machine Translation},
  author = {Meyer, Thomas and Popescu-Belis, Andrei},
  booktitle = {Proceedings of the EACL2012 Workshop on Hybrid Approaches to Machine Translation (HyTra)},
  year = {2012}
}
 
@article{cartoni:annotating:2013,
     author = {Cartoni, Bruno and Zufferey, Sandrine and Meyer, Thomas},
     title = {Annotating the meaning of discourse connectives by looking at their 
         translation: The translation-spotting technique},
     journal = {Dialogue \& Discourse},
     year = {2013},
     pages = {65--86},
     volume = {4}
}

@inproceedings{meyer:implicitation:2013,
  title={Implicitation of discourse connectives in (machine) translation},
  author={Meyer, Thomas and Webber, Bonnie},
  booktitle={Proceedings of the Workshop on Discourse in Machine Translation},
  year={2013}
}

@inproceedings{born:using:2017,
  title={Using a graph-based coherence model in document-level machine translation},
  author={Born, Leo and Mesgar, Mohsen and Strube, Michael},
  booktitle={Proceedings of the Third Workshop on Discourse in Machine Translation},
  year={2017}
}


% ++ APPLICATIONS

@inproceedings{danlos:gtag:1996,
    author = {Danlos, Laurence and Meunier, Frédéric},
    year = {1996},
    title = {G-TAG, un formalisme pour la génération de textes :
    présentation et applications industrielles},
    booktitle = {Proceedings of ILN}
}

@INPROCEEDINGS{marcu:discourse:1997,
    author = {Marcu, Daniel},
    title = {From Discourse Structures to Text Summaries},
    booktitle = {Proceedings of the ACL Workshop on Intelligent Scalable Text 
        Summarization},
    year = {1997},
    pages = {82--88}
}

@article{grote:marking:1997,
    author = {   Grote, Brigitte  and   Lenke,  Nils  and    Stede, Manfed },
    title = {Ma(r)king concessions in English and German},
    journal = {Discourse Processes},
    volume = {24},
    number = {1},
    pages = {87--117},
    year = {1997}
}


@inproceedings{cristea:discourse:1999,
  author = {Cristea, Dan and Ide, Nancy and Marcu, Daniel and Tablan, Valentin},
  booktitle = {Proceedings of ACL},
  title = {Discourse structure and co-reference: An empirical study},
  year = {1999}
}

@inbook{danlos:gtag:2000,
    title={G-TAG: A lexicalized formalism for text generation inspired by tree adjoining grammar},
  author={Danlos, Laurence},
  journal={Tree Adjoining Grammars: Formalisms, Linguistic Analysis, and Processing. CSLI Publications},
  year={2000}
}

@inproceedings{daume:noisy:2002,
  author    = {Daum{\'{e}} III, Hal and Marcu, Daniel},
  title     = {A Noisy-Channel Model for Document Compression},
  booktitle = {Proceedings of ACL},
  year      = {2009},
}

@inproceedings{thione:hybrid:2004,
  author    = {Thione, Gian Lorenzo  and  Van den Berg, Martin  and  
      Polanyi, Livia  and  Culy, Chris},
  title     = {Hybrid Text Summarization: Combining External Relevance 
      Measures with Structural Analysis},
  booktitle = {Proceedings of the ACL Workshop Text Summarization Branches Out},
  year      = {2004}
}

@inproceedings{higgins:evaluationg:2004,
  author    = {Derrick Higgins and Jill Burstein and Daniel Marcu and
               Claudia Gentile},
  title     = {Evaluating Multiple Aspects of Coherence in Student Essays},
  booktitle = {Proceedings of HLT-NAACL},
  year      = {2004}
}

@inproceedings{chai:discourse:2004,
  author    = {Chai, Joyce Y.  and  Jin, Rong},
  title     = {Discourse Structure for Context Question Answering},
  booktitle = {HLT-NAACL 2004: Workshop on Pragmatics of Question Answering },
  year      = 2004
}

@inproceedings{sporleder:discourse:2005,
    author = {Sporleder, Caroline and Lapata, Mirella},
    title = {Discourse chunking and its application to sentence compression},
    booktitle = {Proceedings of EMNLP-HLT},
    year = {2005}
}

@article{taboada:applications:2006,
    author = {Taboada, Maite and Mann, William C.},
    title = { Applications of Rhetorical Structure Theory},
    journal = {Discourse Studies},
    year = {2006},
    volume = {8},
    pages = {567--588}
}

@incollection{polanyi:contextual:2006,
    year={2006},
    booktitle={Computing Attitude and Affect in Text: Theory and Applications},
    volume={20},
    series={The Information Retrieval Series},
    editor={Shanahan, James G. and Qu, Yan and Wiebe, Janyce},
    title={Contextual Valence Shifters},
    publisher={Springer Netherlands},
    author={Polanyi, Livia and Zaenen, Annie},
    pages={1--10}
}

@article{verberne:discourse:2007,
    author = {Verberne, Suzan},
    year = {2007},
    title = {Discourse-based answering of why-questions},
    journal = {Traitement Automatique des Langues, special issue
        on “Discours et document: traitements automatiques”}, 
    volume = {47(2)},
    pages = {21–-41}
}


@incollection{voll:words:2007,
    year={2007},
    booktitle={AI 2007: Advances in Artificial Intelligence},
    volume={4830},
    series={Lecture Notes in Computer Science},
    editor={Orgun, Mehmet A. and Thornton, John},
    title={Not All Words Are Created Equal: Extracting Semantic Orientation 
        as a Function of Adjective Relevance},
    publisher={Springer Berlin Heidelberg},
    author={Voll, Kimberly and Taboada, Maite},
    pages={337--346}
}



@inproceedings{louis:discourse:2010,
    author = {Louis, Annie and Joshi, Aravind and Nenkova, Ani},
    title = {Discourse Indicators for Content Selection in Summarization},
    booktitle = {Proceedings of SIGDIAL},
    year = {2010}
} 


@inproceedings{burstein:enriching:1998,
    author = {Burstein, Jill and Kukich, Karen and Wolff, Susanne and 
        Lu, Chi and Chodorow, Martin},
    title = {Enriching Automated Essay Scoring Using Discourse Marking},
    booktitle = {Proceedings of the ACL Workshop on Discourse Relations and
    Discourse Marking},
    year = {1998}
}

@article{burstein:finding:2003,
    author = {Burstein, Jill and Marcu, Daniel and Knight, Kevin},
    title = {Finding the WRITE stuff: automatic identification of discourse 
        structure in student essays},
    journal = {IEEE Intelligent Systems: Special Issue on Advances in Natural 
        Language Processing},
    year = {2003},
    volume = {18}
}
    
    


@inproceedings{lin:automatically:2011,
 author = {Lin, Ziheng and Ng, Hwee Tou and Kan, Min-Yen},
 title = {Automatically Evaluating Text Coherence Using Discourse Relations},
 booktitle = {Proceedings of ACL-HLT},
 year = {2011}
} 


@article{hiong:structure:2012,
    author = {Hiong, Siaw Nyuk and Kulathuramaiyer, Narayanan and Labadin, Jane},
    year = {2012},
    title = {Towards Structure-Based Paraphrase Detection Using Discourse Parser},
    journal = {Information Retrieval and Knowledge Management},
    volume = {2}, 
    pages = {96--103}
}

@inproceedings{gerani:abstractive:2014,
  title={Abstractive summarization of product reviews using discourse structure},
  author={Gerani, Shima and Mehdad, Yashar and Carenini, Giuseppe and Ng, Raymond and Nejat, Bita},
  booktitle={Proceedings of EMNLP},
  year={2014}
}

@inproceedings{yoshida:dependency:2014,
  title={Dependency-based discourse parser for single-document summarization},
  author={Yoshida, Yasuhisa and Suzuki, Jun and Hirao, Tsutomu and Nagata, Masaaki},
  booktitle={Proceedings of EMNLP},
  year={2014}
}

@article{hogenboom:using:2015,
  title={Using rhetorical structure in sentiment analysis},
  author={Hogenboom, Alexander and Frasincar, Flavius and De Jong, Franciska and Kaymak, Uzay},
  journal={Communications of the ACM},
  volume={58},
  number={7},
  pages={69--77},
  year={2015},
  publisher={ACM New York, NY, USA}
}

@inproceedings{nejat:exploring:2017,
  title={Exploring joint neural model for sentence level discourse parsing and sentiment analysis},
  author={Nejat, Bita and Carenini, Giuseppe and Ng, Raymond},
  booktitle={Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue},
  year={2017}
}

@inproceedings{ji:neural:2017,
  title={Neural Discourse Structure for Text Categorization},
  author={Ji, Yangfeng and Smith, Noah A},
  booktitle={Proceedings of ACL},
  year={2017}
}

@inproceedings{mesgar:neural:2018,
  title={A neural local coherence model for text quality assessment},
  author={Mesgar, Mohsen and Strube, Michael},
  booktitle={Proceedings of EMNLP},
  year={2018}
}

@article{abdalla:rhetorical:2018,
  title={Rhetorical structure and Alzheimer’s disease},
  author={Abdalla, Mohamed and Rudzicz, Frank and Hirst, Graeme},
  journal={Aphasiology},
  volume={32},
  number={1},
  pages={41--60},
  year={2018},
  publisher={Taylor \& Francis}
}

@article{liu:learning:2018,
  title={Learning structured text representations},
  author={Liu, Yang and Lapata, Mirella},
  journal={Transactions of the Association for Computational Linguistics},
  volume={6},
  pages={63--75},
  year={2018},
  publisher={MIT Press}
}

@article{koto:improved:2019,
  title={Improved Document Modelling with a Neural Discourse Parser},
  author={Koto, Fajri and Lau, Jey Han and Baldwin, Timothy},
  journal={ALTA},
  year = 2019,
  pages={37}
}

@inproceedings{liu2019single,
  title={Single document summarization as tree induction},
  author={Liu, Yang and Titov, Ivan and Lapata, Mirella},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  pages={1745--1755},
  year={2019}
}

@inproceedings{karimi2019learning,
  title={Learning Hierarchical Discourse-level Structure for Fake News Detection},
  author={Karimi, Hamid and Tang, Jiliang},
  booktitle={Proceedings NAACL-HLT},
  year={2019}
}

@inproceedings{amblard:investigation:2020,
  title = "Investigation par m{\'e}thodes d{'}apprentissage des sp{\'e}cificit{\'e}s langagi{\`e}res propres aux personnes avec schizophr{\'e}nie (Investigating Learning Methods Applied to Language Specificity of Persons with Schizophrenia)",
    author = "Amblard, Maxime  and
      Braud, Chlo{\'e}  and
      Li, Chuyuan  and
      Demily, Caroline  and
      Franck, Nicolas  and
      Musiol, Michel",
    booktitle = "Actes de la 6e conf{\'e}rence conjointe Journ{\'e}es d'{\'E}tudes sur la Parole (JEP, 33e {\'e}dition), Traitement Automatique des Langues Naturelles (TALN, 27e {\'e}dition), Rencontre des {\'E}tudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (R{\'E}CITAL, 22e {\'e}dition). Volume 2 : Traitement Automatique des Langues Naturelles",
    month = "6",
    year = "2020",
    address = "Nancy, France",
    publisher = "ATALA et AFCP",
    url = "https://aclanthology.org/2020.jeptalnrecital-taln.2",
    pages = "12--26",
    language = "French",
}

article{chen:mt:2020,
  title={Modeling Discourse Structure for Document-level Neural Machine Translation},
  author={Chen, Junxuan and Li, Xiang and Zhang, Jiarui and Zhou, Chulun and Cui, Jianwei and Wang, Bin and Su, Jinsong},
  journal={arXiv preprint arXiv:2006.04721},
  year={2020}
}

@inproceedings{chen-etal-2020-modeling,
    title = "Modeling Discourse Structure for Document-level Neural Machine Translation",
    author = "Chen, Junxuan  and
      Li, Xiang  and
      Zhang, Jiarui  and
      Zhou, Chulun  and
      Cui, Jianwei  and
      Wang, Bin  and
      Su, Jinsong",
    editor = "Wu, Hua  and
      Cherry, Colin  and
      Huang, Liang  and
      He, Zhongjun  and
      Liberman, Mark  and
      Cross, James  and
      Liu, Yang",
    booktitle = "Proceedings of the First Workshop on Automatic Simultaneous Translation",
    month = jul,
    year = "2020",
    address = "Seattle, Washington",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.autosimtrans-1.5",
    doi = "10.18653/v1/2020.autosimtrans-1.5",
    pages = "30--36",
    abstract = "Recently, document-level neural machine translation (NMT) has become a hot topic in the community of machine translation. Despite its success, most of existing studies ignored the discourse structure information of the input document to be translated, which has shown effective in other tasks. In this paper, we propose to improve document-level NMT with the aid of discourse structure information. Our encoder is based on a hierarchical attention network (HAN) (Miculicich et al., 2018). Specifically, we first parse the input document to obtain its discourse structure. Then, we introduce a Transformer-based path encoder to embed the discourse structure information of each word. Finally, we combine the discourse structure information with the word embedding before it is fed into the encoder. Experimental results on the English-to-German dataset show that our model can significantly outperform both Transformer and Transformer+HAN.",
}


@inproceedings{guz2020coreference,
  title={Coreference for Discourse Parsing: A Neural Approach},
  author={Guz, Grigorii and Carenini, Giuseppe},
  booktitle={Proceedings of the First Workshop on Computational Approaches to Discourse},
  pages={160--167},
  year={2020}
}

@inproceedings{xu2020discourse,
  title={Discourse-Aware Neural Extractive Text Summarization},
  author={Xu, Jiacheng and Gan, Zhe and Cheng, Yu and Liu, Jingjing},
  booktitle={Proceedings of ACL},
  year={2020}
}

@inproceedings{xiao2020we,
  title={Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help!},
  author={Xiao, Wen and Huber, Patrick and Carenini, Giuseppe},
  booktitle={Proceedings of the First Workshop on Computational Approaches to Discourse},
  year={2020}
}

% ++ DIVERS DISCOURS

@article{moore:problem:1992,
    author = {Moore, Johanna D. and Pollack, Martha E.},
    title = {A Problem for RST: The Need for Multi-level Discourse Analysis},
    journal = {Computational Linguistic},
    volume = {18},
    number = {4},
    year = {1992},
    pages = {537--544}
} 


@InCollection{moore:discourse:2003,
    author = 	 {Moore, Johanna D. and Wiemer-Hastings, Peter M.},
    title = 	 {Discourse in Computational Linguistics and Artificial Intelligence},
    booktitle = 	 {Handbook of Discourse Processes},
    editor =	 {A. Graesser and M. Gernsbacher and S. Goldman},
    pages =	 {439--486},
    publisher =	 {Erlbaum},
    year =	 {2003}
}

@article{asher:subordinating:2005,
itle = {Subordinating and coordinating discourse relations},
    journal = {Lingua},
    volume = {115},
    number = {4},
    pages = {591--610},
    year = {2005},
    author = {Asher, Nicholas and Vieu, Laure}
}

@INPROCEEDINGS{prasad:penn:2005,
    author = {Prasad, Rashmi and Joshi, Aravind and Dinesh, Nikhil and Lee, Alan 
        and Miltsakaki, Eleni and Webber, Bonnie},
    title = {The Penn Discourse TreeBank as a resource for natural language generation},
    booktitle = {Proceedings of the Corpus Linguistics Workshop on Using Corpora 
        for Natural Language Generation},
    year = {2005},
    pages = {25--32}
}


@article{perywoodley:computational:2006,
    author = {P\'ery-Woodley, Marie-Paule},
    title = {Computational Approaches to Discourse and Document Processing},
    journal = {TAL},
    year= {2006},
    pages = {7--19},
    volume = {47(2)}
}

@article{danlos:capacite:2006,
    author = {Danlos, Laurence},
    year = {2006},
    title = {Capacité générative forte de RST, SDRT et des DAG de
        dépendances pour le discours},
    journal = {Traitement automatique des langues},
    volume = {47(2)}, 
    pages = {169–-198}
}
 
@article{webber:discourse:2010,
    author={Webber, Bonnie  and Egg, Marcus and Kordoni, Valia},
    title={Discourse Structure and Language Technology},
    journal={Natural Language Engineering},
    year={2010}
}

@book{stede:discourse:2011,
    author = {Stede, Manfred},
    title = {Discourse Processing},
    publisher = {Morgan \& Claypool},
    year = {2011}
}


@article{iruskieta:qualitative:2014,
    author = {Iruskieta, Mikel and da Cunha, Iria and Taboada, Maite},
    title = {A qualitative comparison method for rhetorical structures: 
        identifying different discourse structures in multilingual corpora},
    journal = {Language Resources and Evaluation},
    pages={263--309},
    volume={49},
    number={2},
    year = {2015}
}

@InProceedings{conrath:unsupervised:2014,
    author = {Conrath, Juliette and Afantenos, Stergos and Asher, Nicholas and 
        Muller, Philippe},
    title = {Unsupervised extraction of semantic relations using discourse cues},
    booktitle = {Proceedings of Coling},
    year = {2014}
}

@inproceedings{bhatia:better:2015,
  year = {2015},
  booktitle = {Proceedings of EMNLP},
  author = {Bhatia, Parminder and Ji, Yangfeng and Eisenstein, Jacob},
  title = {Better Document-level Sentiment Analysis from {RST} Discourse Parsing}
}

@article{song2020representation,
  title={Representation learning in discourse parsing: A survey},
  author={Song, Wei and Liu, Lizhen},
  journal={Science China Technological Sciences},
  pages={1--26},
  year={2020},
  publisher={Springer}
}


% ++ CONNECTEURS

@inproceedings{hirschberg:now:1987,
    author = {Hirschberg, Julia and Litman, Diane},
    title = {Now Let's Talk About Now: Identifying Cue Phrases Intonationally},
    booktitle = {Proceedings of ACL},
    year = {1987}
} 

@inproceedings{soria:lexical:1998,
    author = {Soria, Claudia and Ferrari, Giacomo},
    title = {Lexical marking of discourse relations - some experimental findings},
    booktitle = {Proceedings of the ACL Workshop on Discourse Relations and Discourse 
        Markers},
    year = {1998}
}

@incollection{jayez:pragmatic:1998,
  TITLE = {Pragmatic connectives as predicates : the case of inferential connectives},
  AUTHOR = {Jayez, Jacques and Rossari, Corinne},
  BOOKTITLE = {Predicative forms in natural language and in lexical 
      knowledge bases},
  PUBLISHER = {Kluwer},
  PAGES = {285--319},
  YEAR = {1998}
}

@article{schourup:discourse:1999,
    author = {Schourup, Lawrence},
    title = {Discourse Markers},
    year = {1999},
    journal = {Lingua},
    volume = {107(3)},
    pages = {227--265}
}

@inproceedings{schauer:anaphoric:2001,
    author = {Schauer, Holger and Hahn, Udo},
    year = {2001}, 
    title = {Anaphoric Cues for Coherence Relations}, 
    booktitle = {Proceedings of RANLP},
}

@article{moeschler:connecteurs:2002,
    author={Moeschler, Jacques},
    title={Connecteurs, encodage conceptuel et encodage procédural},
    journal={Cahiers de Linguistique Française},
    year={2002},
    pages={265--292},
    volume={24},
}

 
@article{taboada:discourse:2006,
    author = {Taboada, Maite},
    title = {Discourse markers as signals (or not) of rhetorical relations},
    journal = {Journal of Pragmatics},
    year = {2006},
    pages = {567--592},
    volume = {38}
}

@article{forbes:computing:2006,
    author = {Forbes-Riley,Katherine and Webber, Bonnie },
    title = {Computing discourse semantics: The predicate-argument semantics of 
        discourse connectives in D-LTAG},
    journal = {Journal of Semantics},
    year = {2006},
    volume = {23},
    pages = {55--106}
}

@article{fraser:towards:2006,
  title={Towards a theory of discourse markers},
  author={Fraser, Bruce},
  journal={Approaches to discourse particles},
  volume={1},
  pages={189--205},
  year={2006},
  publisher={Elsevier Oxford}
}

@article{nakamuradelloye:typologie:2007,
    author = {Nakamura-Delloye, Yayoi},
    title = {Typologie des subordonn{\'e}es et des connecteurs en vue de la 
        d{\'e}tection automatique des propositions syntaxiques du fran{\c c}ais},
    journal = {Cahiers du Cental},
    pages = {20},
    year = {2007}
}

@PHDTHESIS{bras:relations:2008,
  title = {Entre relations temporelles et relations de discours},
  author = {Bras, Myriam},
  year = {2008},
  school = {Universit\'e de Toulouse},
  type = {Habilitation {\`a} Diriger des Recherches}
}

@incollection{taboada:implicit:2009,
    author = {Taboada, Maite},
    year = {2009},
    title = {Implicit and explicit coherence relations},
    editor = {In J. Renkema},
    booktitle = {Discourse, of Course},
    publisher = {Amsterdam: John Benjamins}
}

@inproceedings{asr:implicitness:2012, 
    author = {Asr, Fatemeh and Demberg, Vera}, 
    title = {Implicitness of discourse relations}, 
    booktitle = {Proceedings of COLING}, 
    year = {2012}
}


@article{taboada:annotation:2013,
    author = {Taboada, Maite and Das, Debopam},
    title = {Annotation upon Annotation: Adding Signalling Information to a 
        Corpus of Discourse Relations},
    journal = {Dialogue and Discourse},
    year = {2013},
    pages = {249--281},
    volume = {4(2)}
}



@inproceedings{colinet:uses:2014,
  TITLE = {Uses of the prepostion 
       pour introducing an infinitival clause: description, formal criteria and corpus annotation},
  AUTHOR = {Colinet, Margot and Danlos, Laurence and Dargnat, Mathilde and Winterstein, Gr{\'e}goire},
  BOOKTITLE = {{4{\`e}me Congr{\`e}s Mondial de Linguistique Fran{\c c}aise}},
  YEAR = {2014}
}






% ++ LINGUISTIQUE DISCOURS

@book{halliday:cohesion:1976,
  author = {Halliday, Michael A.K. and Hasan, Ruqaiya},
  publisher = {Longman},
  title = {Cohesion in English},
  year = {1976}
}



@article{kamp:evenements:1981,
    author = {Kamp, Hans},
    title = {Evénements, représentations discursives et référence temporelle},
    journal = {Langages},
    year = {1981},
    volume = {64},
    pages = {34--64}
}

@inproceedings{polanyi:theory:1985,
    author = {Polanyi, Livia},
    title = {A Theory of Discourse Structure and Discourse Coherence},
    booktitle = {Proceedings of the Meeting of the Chicago Linguistics Society},
    year = {1985}
}

@techreport{hobbs:coherence:1985,
    author = {Hobbs, Jerry R.},
    title = {On the Coherence and Structure of Discourse},
    institution = {Center for the Study of Language and Information, Stanford University},
    year = {1985}
}


@article{grosz:attention:1986,
  author = {Grosz, Barbara and Sidner, Candy},
  title = {Attention, Intentions, and the Structure of Discourse},
  journal = {Computational Linguistics},
  year = {1986},
  volume = {12}
}

@incollection{joshi:introduction:1987,
    author = {Joshi, Aravind},
    title = {An introduction to Tree Adjoining Grammar},
    booktitle = {Mathematics of Language},
    editor = {A. Manaster- Rame},
    publisher = {Amsterdam: John Ben- jamins},
    pages = {87--114},
    year = {1987}
}
 
@article{mann:rhetorical:1988,
    author = {Mann, William C. and Thompson, Sandra A.},
    title = {{R}hetorical {S}tructure {T}heory: Toward a functional theory of text organization},
    journal = {Text},
    year = {1988},
    volume = {8},
    pages = {243--281},
}

@phdthesis{schabes:mathematical:1990,
    author = {Schabes, Yves},
    title = {Mathematical and computational aspects of lexicalized grammars},
    school = {University of Pennsylvania},
    year = {1990}
}

@article{wilson:forme:1990,
    author = {Wilson, Deirdre and Sperber, Dan},
    title = {Forme linguistique et pertinence},
    journal = {Cahiers de Linguistique Française},
    volume = {11},
    pages = {345–-359}, 
    year = {1990}
}


@book{ asher:reference:1993,
    author = {Asher, Nicholas},
    title = {Reference to Abstract Objects in Discourse: A Philosophical Semantics 
        for Natural Language Metaphysics},
    year = {1993},
    publisher = {Kluwer},
    volume = {50},
    series = {SLAP}
}

@book{kamp:discourse:1993,
  author = {Kamp, Hans and Reyle, Uwe},
  publisher = {Kluwer},
  series = {Studies in Linguistics and Philosophy},
  title = {From Discourse to Logic: Introduction to Model-theoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory},
  volume = 42,
  year = 1993
}



@article{lascarides:temporal:1993,
    author = {Lascarides, Alex and Asher, Nicholas},
    title = {Temporal Interpretation, Discourse Relations and Commonsense Entailment},
    journal = {Linguistics and Philosophy},
    year = {1993},
    volume = {16}
}

@phdthesis{knott:data:1996,
   author = {Knott, Alistair},
   title = {A Data-Driven Methodology for Motivating a Set of Coherence Relations},
   school = {University of Edinburgh},
   year = {1997}
} 

@article{knott:classification:1997,
    author = {Knott, Alistair and Sanders, Ted},
    title = {The Classification of Coherence Relations and their Linguistic Markers: An Exploration of Two Languages},
    journal = {Journal of pragmatics},
    year = {1997},
    volume = {30},
    pages = {135--175}
}

@article{asher:bridging:1998,
author = {Asher, Nicholas and Lascarides, Alex},
year = {1998},
title = {Bridging},
journal  = {Journal of Semantics},
volume = {15},
number = {1},
pages = {83--113},
publisher = {Oxford University Press}
}

@article{degand:impact:1999,
    author = {Degand Liesbeth and Lefèvre, Nathalie and Bestgen, Yves},
    year = {1999},
    title = {The impact of connectives and anaphoric expressions on expository 
        discourse comprehension},
    journal = {Document Design},
    volume = {1},
    pages = {39--51}
}

@inproceedings{schauer:elementary:2000,
    author = {Schauer, Holger},
    title = {From Elementary Discourse Units to Complex Ones},
    booktitle = {Proceedings of SIGdial},
    year = {2000}
}

@inproceedings{schauer:coreferences:2000,
    author = {Schauer, Holger},
    title = {Using coreferences for coherence relations}, 
    booktitle = {Proceedings of ACL}, 
    year = {2000}
}

@article{busquets:sdrt:2001,
    author = {Busquets, Joan and Vieu, Laure and Asher, Nicholas},
    title = {La SDRT : une approche de la cohérence du discours dans la tradition 
        de la sémantique dynamique},
    journal = {Verbum},
    year = {2001},
    pages = {73--101},
    volume = {23}
}
 
@book{asher:logics:2003,
    author = { Asher, Nicholas and Lascarides, Alex},
    title = {Logics of Conversation},
    publisher = {Cambridge University Press},
    year = {2003}
}

@article{webber:anaphora:2003,
    author = {Webber, Bonnie and Stone, Matthew and Joshi, Aravind and 
        Knott, Alistair},
    title = {Anaphora and Discourse Structure},
    journal = {Computational Linguistic},
    year = {2003}
} 

@inproceedings{joshi:flexible:2003,
    author = {Joshi, Aravind and Kallmeyer, Laura and Romero, Maribel},
    year = {2003}, 
    title = {Flexible Composition in LTAG: Quantifier Scope and Inverse Linking},
    booktitle = {Proceedings of the International Workshop on Compositional Semantics}
}


@article{webber:dltag:2004, 
    author={Webber, Bonnie}, 
    title={D-LTAG: extending lexicalized TAG to discourse}, 
    journal={Cognitive Science},
    pages={751--779}, 
    year={2004},
    volume={28} 
}

@inproceedings{vieu:background:2004,
    author = {Vieu, Laure and Prévot, Laurent},
    title = {Background in SDRT},
    booktitle = {Proceedings of th Workshop SDRT, Traitement Automatique du 
        Langage Naturel},
    year = {2004}
}

@inproceedings{sanders:coherence:2005,
    author={Sanders, Ted},
    title={Coherence, causality and cognitive complexity in discourse},
    booktitle={Proceedings of the International Symposium on the Exploration and 
        Modelling of Meaning},
    year = {2005}
}

@inproceedings{degand:minimal:2005,
    author = {Degand, Liesbeth and  Simon, Anne-Catherine},
    title = {Minimal Discourse Units: Can we define them, and why should we?},
    booktitle = {Proceedings of SEM-05. Connectors, discourse framing and discourse 
        structure: from corpus-based and experimental analyses to discourse theories},
    year = {2005}
}


@article{taboada:rhetorical:2006,
    author = {Taboada, Maite and Mann, William C.},
    title = {Rhetorical Structure Theory: looking back and moving ahead},
    journal = {Discourse Studies},
    year = {2006},
    volume = {8},
    pages = {423--459}
}


@incollection{lascarides:segmented:2007,
    author = {Lascarides, Alex and Asher, Nicholas},
    title = {Segmented Discourse Representation Theory: Dynamic Semantics With 
        Discourse Structure},
    booktitle = {Computing Meaning},
    year = {2007},
    chapter = {5},
    editor = {Bunt, Harry and Muskens, Reinhard},
    publisher = {Springer Netherlands},
    pages = {87--124},
    volume = {83}
}

@book{benz:constraints:2008,
    editor = {Benz, Anton and Kühnlein, Peter},
    title = {Constraints in Discourse},
    publisher = {John Benjamins Publishing Company},
    year = {2008}
}

@article{rossette:reading:2008,
    author={Rossette, Fiona},
    title={Reading Between the Clauses: an Exploration of Implicit Inter-clausal 
        Relations in English},
    journal={Anglophonia},
    year={2008},
    pages={219--243}
}

@article{danlos:dstag:2009,
    author = {Danlos, Laurence},
    title = {D-STAG : un formalisme d'analyse automatique de discours bas{\'e} sur 
        les TAG synchrones},
    journal = {Revue TAL},
    year = {2009},
    pages = {111--143},
    volume = {50}
}

@inproceedings{asher:complex:2011,
    author = {Asher, Nicholas and Venant, Antoine and Muller, Phillipe and 
        Afantenos, Stergos},
    title = {Complex discourse units and their semantics}, 
    booktitle = {Proceedings of Constraints in Discourse}, 
    year = {2011}
}
    
@inproceedings{roze:towards:2011,
  TITLE = {Towards a Discourse Relation Algebra for Comparing Discourse Structures},
  AUTHOR = {Roze, Charlotte},
  BOOKTITLE = {Proceedings of CID 2011 - Constraints In Discourse},
  YEAR = {2011}
}

@inproceedings{vliet:sentences:2011,
    title = {Complex Sentences as Leaky Units in Discourse Parsing},
    author = {van der Vliet, Nynke and Redeker, Gisela},
    booktitle = {Proceedings of Constraints in Discourse},
    year = {2011}
}

@phdthesis{roze:algebre:2013,
    author = {Roze, Charlotte},
    title = {Vers une alg{\`e}bre des relations de discours},
    school = {Universit{\'e} Paris-Diderot},
    year = {2013}
}

@inproceedings{asr:information:2013,
    author    = {Asr, Fatemeh  and  Demberg, Vera},
    title     = {On the Information Conveyed by Discourse Markers},
    booktitle = {Proceedings of the Annual Workshop on Cognitive Modeling and 
        Computational Linguistics (CMCL)},
    year      = {2013}
}

@inproceedings{venant:expressivity:2013,
  TITLE = {{Expressivity and comparison of models of discourse structure}},
  AUTHOR = {Venant, Antoine and Asher, Nicholas and Muller, Philippe and 
      Denis, Pascal and Afantenos, Stergos},
  BOOKTITLE = {{Special Interest Group on Discourse and Dialogue}},
  ADDRESS = {Metz, France},
  YEAR = {2013}
}

@article{corminboeuf:composante:2013,
    title = {Une composante  émotive dans les constructions articulées par un 
        \emph{et} d'opposition ?},
    author = {Corminboeuf, Gilles},
    journal = {Journal of French Language Studies},
    year = {2013}
}

@phdthesis{moteurs:longo:2013,
    author = {Longo, Laurence},
    title = {Vers de moteurs de recherche  intelligents : un outil de 
        détection automatique de thèmes},
    school = {Universit{\'e} de Strasbourg},
    year = {2013}
}


@inproceedings{hunter:because:2014,
  TITLE = {{Because we say so}},
  AUTHOR = {Hunter, Julie and Danlos, Laurence},
  BOOKTITLE = {Proceedings of EACL Workshop on Computational Approaches to Causality 
      in Language},
  YEAR = {2014}
}

@inproceedings{benamara:mapping:2015,
    author = {Benamara, Farah and Taboada, Maite},
    title = { Mapping different rhetorical relation annotations: A proposal},
    booktitle = {Proceedings of Starsem},
    year = {2015}
}

@inproceedings{danlos:grammaires:2015,
    author = {Danlos, Laurence and Maskharashvili, Aleksandre and Pogodalla, Sylvain},
    title = {Grammaires phrastiques et discursives fondées sur les TAG : une approche
        de D-STAG avec les ACG},
    booktitle = {Proceedings of TALN},
    year = {2015}
}

@article{Sanders:2018,
 author = {Sanders, Ted J.M. and Demberg, Vera and Hoek, Jet and Scholman, Merel C.J. and Asr, Fatemeh Torabi and Zufferey, Sandrine and Evers-Vermeul, Jacqueline},
 journal = {Corpus Linguistics and Linguistic Theory},
 title = {Unifying dimensions in coherence relations: How various annotation frameworks are related},
 year = {2018}
}

@article{demberg:compatible:2019,
  title={How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations},
  author={Demberg, Vera and Scholman, Merel and Asr, Fatemeh Torabi},
  journal={Dialogue \& Discourse},
  volume={10},
  number={1},
  pages={87--135},
  year={2019}
}


% ++ CORPUS ET RESSOURCES

@misc{dictaffect,
    title = {The dictionary of affect in language},
    author = {Whissell, Cynthia M.},
    year = {1989}
}


@techreport{guide:annodis,
  author = {Muller, Philippe and Vergez-Couret, Marianne and Prévot, Laurent
  and Asher, Nicholas and Benamara, Farah and Bras, Myriam and 
  Le Draoulec, Anne and Vieu, Laure},
  institution = {Carnets de Grammaire - Rapports internes de CLLE-ERSS},
  title = {Manuel d'annotation en relations de discours de projet {\sc annodis}},
  year = 2012
}



@misc{guide:annodis:v1,
    title = {Guide d'annotation du corpus Annodis},
    note = {\url{http://www.irit.fr/wiki/doku.php?id=annodis:manuel_d_annotation}}
}

@inproceedings{stone:computer:1963,
 author = {Stone, Philip J. and Hunt, Earl B.},
 title = {A Computer Approach to Content Analysis: Studies Using the General Inquirer System},
 booktitle = {Proceedings of the Spring Joint Computer Conference},
 year = {1963}
}

@book{stone:general:1966,
    author = {Stone, Philip J. and Kirsh, John},
    title = {The General Inquirer: A Computer Approach to Content Analysis},
    publisher = {MIT Press},
    year = {1966}
}

@book{levin:english:1993,
  author = {Levin, Beth},
  publisher = {University of Chicago Press},
  title = {English verb classes and alternations : a preliminary investigation},
  year = {1993}
}

@inproceedings{stede:dimlex:1998,
    author = {Stede, Manfred and Umbach, Carla},
    title = {DiMLex: A lexicon of discourse markers for text generation and 
        understanding},
    booktitle = {Proceedings of COLING},
    year = {1998}
}

@inproceedings{marcu:experiments:1999,
    author = {Marcu, Daniel and Amorrortu, Estibaliz and Romera, Magdalena},
    title = { Experiments in constructing a corpus of discourse trees},
    booktitle = {Proceedings of the ACL Workshop on Standards and Tools for
    Discourse Tagging},
    year = {1999}
}

@inproceedings{carlson:building:2001,
    title = "Building a Discourse-Tagged Corpus in the Framework of {R}hetorical {S}tructure {T}heory",
    author = "Carlson, Lynn  and
      Marcu, Daniel  and
      Okurovsky, Mary Ellen",
    booktitle = "Proceedings of the Second {SIG}dial Workshop on Discourse and Dialogue",
    year = "2001",
    url = "https://aclanthology.org/W01-1605",
}

@techreport{carlson:discourse:2001,
  author = {Carlson, Lynn and Marcu, Daniel},
  institution = {University of Southern California Information Sciences
      Institute},
  title = {Discourse Tagging Reference Manual},
  year = 2001
}


@inproceedings{kingsbury:treebank:2002,
    author = {Kingsbury, Paul and Palmer, Martha},
    year = {2002},
    title = {From treebank to propbank}, 
    booktitle = {Proceedings of LREC}
}

@INPROCEEDINGS{pustejovsky:timeml:2003,
    author = {Pustejovsky, James and Castaño, José and Ingria, Robert and 
        Saurí, Roser and Gaizauskas, Robert and Setzer, Andrea and Katz, Grahams},
    title = {Timeml: Robust specification of event and temporal expressions in text},
    booktitle = {Proceedings of International Workshop on Computational Semantics (IWCS-5)},
    year = {2003}
}

@article{carlson:building:2003,
    author = {Carlson, Lynn and Marcu, Daniel and Okurowski, Mary Ellen},
    title = {Building a discourse-tagged corpus in the framework of rhetorical structure theory},
    journal = {Current Directions in Discourse and Dialogue},
    year = {2003},
    pages = {85--112}
}

@inproceedings{prasad:annotation:2004,
    author = {Prasad, Rashmi and Miltsakaki, Eleni and Joshi, Aravind and 
        Webber, Bonnie},
    title = {Annotation and Data Mining of the Penn Discourse TreeBank},
    booktitle = {Proceedings of the ACL Workshop on Discourse Annotation},
    year = {2004}
} 


@inproceedings{miltsakaki:penn:2004,
    author = {Miltsakaki, Eleni and Prasad, Rashmi and Joshi, Aravind and Webber, 
        Bonnie},
    title = {The penn discourse treebank},
    booktitle = {Proceedings of LREC},
    year = {2004}
}

@inproceedings{stede:postdam:2004,
    author = {Stede, Manfred},
    title = {The Potsdam Commentary Corpus},
    booktitle = {Proceedings of the ACL Workshop on Discourse Annotation},
    year = {2004}
} 

@article{wolf:representing:2005,
    author = {Wolf, Florian and Gibson, Edward},
    title = {Representing Discourse Coherence: A Corpus-Based Study},
    journal = {Computational Linguistics},
    year = {2005},
    pages = {249--288},
    volume = {31(2)}
}

@inproceedings{pardo:rhetalho:2005,
    author = {Pardo, Thiago A. S. and Seno, Eloize R. M.},
    title = {Rhetalho: Um corpus de referência anotado retoricamente},
    booktitle = {Proceedings of Encontro de Corpora},
    year = {2005}
}

@inproceedings{wilson:recognizing:2005,
 author = {Wilson, Theresa and Wiebe, Janyce and Hoffmann, Paul},
 title = {Recognizing Contextual Polarity in Phrase-level Sentiment Analysis},
 booktitle = {Proceedings of HLT-EMNLP},
 year = {2005}
} 

@inproceedings{hovy:ontonotes:2006,
    author = {Hovy, Eduard and Marcus, Mitchell and Palmer, Martha and Ramshaw, 
        Lance and Weischedel, Ralph},
    title = {OntoNotes: The 90\% Solution},
    booktitle = {Proceedings of HLT-NAACL},
    year = {2006}
} 


@inproceedings{turney:expressing:2006,
    author = {Turney, Peter D.},
    title = {Expressing Implicit Semantic Relations Without Supervision},
    booktitle = {Proceedings of ACL},
    year = {2006}
}

@techreport{group:penn:2006,
    author = {Prasad, Rashmi and Miltsakaki, Eleni and Dinesh, Nikhil and Lee, Alan 
        and Joshi, Aravind},
    title = {The Penn Discourse TreeBank 1.0. Annotation Manual},
    year = {2006},
    institution = {Institute for Research in Cognitive Science, University of Pennsylvania}
}

@misc{prasad:penn:2007,
    author = {Prasad, Rashmi and Miltsakaki, Eleni and Dinesh, Nikhil and Lee, Alan 
        and Joshi, Aravind and Robaldo, Livio and Webber, Bonnie},
    title = {The Penn Discourse Treebank 2.0 Annotation Manual},
    year = {2007}
}

@techreport{reese:reference:2007,
    author = {Reese, Brian and Hunter, Julie and Asher, Nicholas and Denis, Pascal and
    Baldridge, Jason},
    title = {Reference manual for the analysis and annotation of rhetorical structure 
    (version 1.0)},
    institution = {Discor, University of Texas, Austin},
    year = {2007}
}
 
@inproceedings{prasad:penn:2008,
    author = {Prasad, Rashmi and Dinesh, Nikhil and Lee, Alan and Miltsakaki, Eleni 
        and Robaldo, Livio and Joshi, Aravind and Webber, Bonnie},
    title = {The penn discourse treebank 2.0},
    booktitle = {Proceedings of LREC},
    year = {2008}
}

@inproceedings{miltsakaki:sense:2008,
    author = {Miltsakaki, Eleni and Robaldo, Livio and Lee, Alan and Joshi, Aravind},
    title = {Sense Annotation in the Penn Discourse Treebank},
    booktitle = {Proceedings of the International Conference on Computational 
        Linguistics and Intelligent Text Processing},
    year = {2008}
} 
 
@inproceedings{zeyrek:discourse:2008,
    title = "A Discourse Resource for {T}urkish: Annotating Discourse Connectives in the {METU} Corpus",
    author = "Zeyrek, Deniz  and
      Webber, Bonnie",
    booktitle = "Proceedings of the 6th Workshop on {A}sian Language Resources",
    year = "2008",
    url = "https://aclanthology.org/I08-7009",
}

@inproceedings{prasad:towards:2008,
    author    = {Prasad, Rashmi and Husain, Samar and Sharma, Dipti Misra and
               Joshi, Aravind},
    title     = {Towards an Annotated Corpus of Discourse Relations in Hindi},
    booktitle = {Proceedings of IJCNLP},
    year      = {2008}
}

@techreport{telljohann:stylebook:2009,
    author = {Telljohann, Heike and Hinrichs, Erhard W. and Kübler, Sandra and 
        Zinsmeister, Heike and Beck, Kathrin},
    year = {2009},
    title = {Stylebook for the Tübingen Treebank of Written German (TüBa-D/Z)},
    institution = {Universität Tübingen}
}

@inproceedings{annodis:pery:2009,
    author = {P\'ery-Woodley, Marie-Paule and Asher, Nicholas and Enjalbert, Patrice
        and Benamara, Farah and Bras, Myriam and Fabre, Cécile and Ferrari, Stéphane 
            and  Ho-Dac, Lydia-Mai and Le Draoulec, Anne and Mathet, Yann 
            and Muller, Philippe and Pr\'evot, Laurent and Rebeyrolle, Josette 
            and Tanguy, Ludovic and Vergez-Couret, Marianne and Vieu, Laure and 
            Widl\"ocher, Antoine},
    title = {ANNODIS: une approche outill\'ee de l'annotation de structures discusives},
    booktitle={Proceedings of TALN},
    year={2009}
}

@inproceedings{oza:hindi:2009,
    author    = {Oza, Umangi and Prasad, Rashmi and Kolachina, Sudheer and
               Sharma, Dipti Misra and Joshi, Aravind},
    title     = {The Hindi Discourse Relation Bank},
    booktitle = {Proceedings of LAW},
    year      = {2009}
}

@inproceedings{oza:experiments:2009,
    author    = {Oza, Umangi and Prasad, Rashmi and Kolachina, Sudheer and
               Meena, Suman and Sharma, Dipti Misra and Joshi, Aravind},
    title     = {Experiments with Annotating Discourse Relations in the Hindi 
        Discourse Relation Bank},
    booktitle = {Proceedings of LAW},
    year      = {2009}
}

@mastersthesis{roze:base:2009,
    author = {Roze, Charlotte},
    title = {Base lexicale des connecteurs discursifs du fran{\c c}ais},
    school = {Université Paris Diderot},
    year = {2009}
}

@inproceedings{zeyrek:annotating:2009,
    author    = {Zeyrek, Deniz and Turan, Deniz Umit and Bozsahin, Cem and 
        {\c{C}}akici, Ruket and Sevdik{-}Calli, Ayisigi B. and Demirsahin, Isin and
        Aktas, Berfin and Yalcinkaya, Ihsan and Ogel, Hale},
    title     = {Annotating Subordinators in the Turkish Discourse Bank},
    booktitle = {Proceedings of LAW},
    year      = {2009}
}

@inproceedings{widlocher:glozz:2009,
    author = {Widlöcher, Antoine and Mathet, Yann},
    title = {La plate-forme Glozz: environnement d’annotation et d’exploration de 
        corpus},
    year = {2009},
    booktitle = {Proceedings of TALN}
}

@article{turney:frequency:2010,
    author = {Turney, Peter D. and Pantel, Patrick},
    title = {From frequency to meaning : Vector space models of semantics},
    journal = {Journal of Artificial Intelligence Research},
    year = {2010},
    pages = {141--188}
}

@inproceedings{alsaif:leeds:2010,
    author = {Al-Saif, Amal and Markert, Katja},
    title = {The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives 
        for Arabic},
    booktitle = {Proceedings of LREC},
    year = {2010}
}

@inproceedings{tonelli:annotation:2010,
    author = {Tonelli, Sara and Riccardi, Giuseppe and Prasad, Rashmi and Joshi, 
        Aravind},
    title = {Annotation of Discourse Relations for Conversational Spoken Dialogs},
    booktitle = {Proceedings of LREC'10},
    year = {2010}
}

@InProceedings{ afantenos:testing:2010,
    author = {Afantenos, Stergos and Asher, Nicholas},
    title = {Testing SDRT's Right Frontier },
    booktitle = {Proceedings of COLING},
    year = {2010}
}

@article{prasad:biomedical:2011,
    author = {Prasad, Rashmi and McRoy, Susan and Frid, Nadya and Joshi, 
        Aravind and Yu, Hong},
    title = {The biomedical discourse relation bank},
    journal = {BMC bioinformatics},
    year = {2011}
}

@inproceedings{dacunha:development:2011,
    author = {da Cunha, Iria and Moreno, Juan Manuel Torres and Sierra, Gerardo},
    title = {On the Development of the {RST} {S}panish {T}reebank},
    booktitle = {Linguistic Annotation Workshop},
    year = {2011}
}
 
@inproceedings{gastel:annotation:2011,
    author={Gastel, Anna and Schulze, Sabrina and Versley, Yannick and Hinrichs, Erhard},
    title={Annotation of explicit and implicit discourse relations in the TüBa-D/Z treebank},
    booktitle={Proceedings of GSCL},
    year={2011}
}

@article{ pery:corpus:2011,
    author = {Pery-Woodley, Marie-Paule and Afantenos, Stergos and Ho-Dac, 
        Lydia-Mai and Asher, Nicholas},
    title = {La ressource ANNODIS, un corpus enrichi d'annotations discursives},
    journal = {Traitement Automatique des Langues, Ressources Linguistiques Libres},
    publisher = {Association pour le Traitement Automatique des Langues (ATALA)},
    year = {2011},
    volume = {52},
    number = {3},
    pages = {71--101}
}

@InProceedings{adam:exploiting:2012,
  author    = {Adam, Cl\'{e}mentine  and  Vergez-Couret, Marianne},
  title     = {Exploiting naive vs expert discourse annotations: an experiment 
      using lexical cohesion to predict Elaboration / Entity-Elaboration confusions},
  booktitle = {Proceedings of the Linguistic Annotation Workshop},
  year      = {2012}
}


@article{roze:lexconn:2012,
    author = { Roze, Charlotte and Danlos, Laurence and Muller, Philippe },
    title = { LEXCONN: a French Lexicon of Discourse Connectives},
    journal = {Discours, Multidisciplinary Perspectives on Signalling Text 
        Organisation},
    year = {2012},
    volume = {10},
    publisher = {Presses Universitaires de Caen},
}

@inproceedings{danlos:fdtb:2012,
    author    = {Danlos, Laurence and Antolinos-Basso, Diégo and Braud, Chloé 
        and Roze, Charlotte},
    title     = {Vers le FDTB : French Discourse Tree Bank},
    booktitle = {Proceedings of TALN},
    year      = {2012}
}

@inproceedings{afantenos:empirical:2012,
    author = {Afantenos, Stergos and Asher, Nicholas and Benamara, Farah and Bras, 
        Myriam and Fabre, Cécile and Ho-Dac, Lydia-Mai and Le Draoulec, Anne and 
            Muller, Philippe and Pery-Woodley, Marie-Paule and Prévot, Laurent and 
            Rebeyrolles, Josette and Tanguy, Ludovic and Vergez-Couret, Marianne 
            and Vieu, Laure},
    title = {An empirical resource for discovering cognitive principles of discourse 
        organisation: the {A}NNODIS corpus},
    booktitle = {Proceedings of LREC},
    year = {2012}
}

@inproceedings{afantenos:developing:2012,
    author = {Afantenos, Stergos and Asher, Nicholas and Benamara, Farah and 
        Cadilhac, Anaïs and Degremont, Cédric and Denis, Pascal and Guhe, Markus
            and Keizer, Simon and Lascarides, Alex and Lemon, Oliver and
            Muller, Philippe and Paul, Soumya and Rieser, Verena and Vieu, Laure},
    year = {2012}, 
    title = {Developing a corpus of strategic conversation in the Settlers
    of Catan}, 
    booktitle = {Proceedings of the workshop on Games and NLP (GAMNLP)}
}

@inproceedings{polakova:introducing:2013,
    author = {Pol\'{a}kov\'{a}, Lucie and M\'{i}rovsk\'{y}, Ji\u{r}\'{i} and 
        Nedoluzhko, Anna and J\'{i}nov\'{a}, Pavl\'{i}na and Zik\'{a}nov\'{a}, 
        {\u{S}}\'{a}rka and Haji\u{c}ov\'{a}, Eva},
    title = {Introducing the Prague Discourse Treebank 1.0},
    booktitle = {Proceedings of IJCNLP},
    year = {2013}
}

@article{versley:linguistic:2013,
    author = {Versley, Yannick and Gastel, Anna},
    title = {Linguistic Tests for Discourse Relations in the TüBa-D/Z Corpus of 
        Written German},
    journal = {Dialogue \& Discourse},
    year = {2013},
    volume = {4(2)},
    pages = {142--173}
}

@inproceedings{iruskieta:rst:2013,
    author = {Iruskieta, Mikel and Aranzabe, Mar\'{i}a J. 
        and Diaz de Ilarraza, Arantza
        and Gonzalez-Dios, Itziar and Lersundi, Mikel 
        and Lopez de la Calle, Oier},
    year = {2013},
    title = {The {RST} {B}asque {T}reeBank: an online search interface to check rhetorical 
        relations},
    booktitle = {Proceedings of the Workshop RST and Discourse Studies}
}

@article{prasad:reflections:2014,
    author = {Prasad, Rashmi and Webber, Bonnie and Joshi, Aravind},
    title = {Reflections on the Penn Discourse TreeBank, Comparable Corpora and 
        Complementary Annotation},
    journal = {Computational Linguistics},
    year = {2014}
}

@inproceedings{li:chinese:2014,
    author = {Li, Yancui and Feng, Wenhe and Sun, Jing and Kong, Fang and Zhou, 
        Guodong},
    title = {Building Chinese Discourse Corpus with Connective-driven Dependency 
        Tree Structure},
    booktitle = {Proceedings of EMNLP},
    year = {2014}
}

@inproceedings{stede:postdam:2014,
    author = {Stede, Manfred and Neumann, Arne},
    year = {2014},
    title = {Potsdam Commentary Corpus 2.0: Annotation for Discourse Research},
    booktitle = {Proceedings of LREC}
}

@Article{keskes:learning:2014,
    author = {Keskes, Iskander and Benamara, Farah and Hadrich Belguith, Lamia},
    title = {Learning Explicit and Implicit Arabic Discourse Relations},
    journal = {Journal of King Saud University (JKSU-CIS), Special Issue on 
        Arabic NLP: Current State and Future Challenges},
    publisher = {Elsevier},
    year = {2014}
}

@article{amblard:slam:2015,
  TITLE = {{Analyse lexicale outill{\'e}e de la parole transcrite de patients schizophr{\`e}nes}},
  AUTHOR = {Amblard, Maxime and Fort, Kar{\"e}n and Demily, Caroline and Franck, Nicolas and Musiol, Michel},
  JOURNAL = {{Traitement Automatique des Langues}},
  PUBLISHER = {{ATALA}},
  SERIES = {Natural Language Processing and Cognition},
  VOLUME = {55},
  NUMBER = {3},
  YEAR = {2015}
}

@inproceedings{amblard:slam:2014,
  TITLE = {{{\'E}tude quantitative des disfluences dans le discours de schizophr{\`e}nes : automatiser pour limiter les biais}},
  AUTHOR = {Amblard, Maxime and Fort, Karen},
  BOOKTITLE = {{Proceedings of TALN - Traitement Automatique des Langues Naturelles}},
  YEAR = {2014}
}

@incollection{rebuschi:hal-00910725,
  TITLE = {{Using SDRT to analyze pathological conversations. Logicality, rationality and pragmatic deviances}},
  AUTHOR = {Rebuschi, Manuel and Amblard, Maxime and Musiol, Michel},
  BOOKTITLE = {{Interdisciplinary Works in Logic, Epistemology, Psychology and Linguistics: Dialogue, Rationality, and Formalism}},
  EDITOR = {Manuel Rebuschi and Martine Batt and Gerhard Heinzmann and Franck Lihoreau and Michel Musiol and Alain Trognon},
  PUBLISHER = {{Springer}},
  SERIES = {Logic, Argumentation \& Reasoning},
  VOLUME = {3},
  YEAR = {2014}
}


@inproceedings{fdtb1:steinlin:2015,
    title       = {FDTB1: Repérage des connecteurs de discours en corpus},
    author      = {Steinlin, Jacques and Colinet, Margot and Danlos, Laurence},
    booktitle   = {Proceedings of TALN},
    year        = {2015}
}

@inproceedings{peldszus:annotated:2015,
  title={An annotated corpus of argumentative microtexts},
  author={Peldszus, Andreas and Stede, Manfred},
  booktitle={Argumentation and Reasoned Action: Proceedings of the 1st European Conference on Argumentation, Lisbon},
  year={2015}
}

@inproceedings{crible:using:2015,
  title={Using a unified taxonomy to annotate discourse markers in speech and writing},
  author={Crible, Ludivine and Zufferey, Sandrine},
  booktitle={Proceedings of the 11th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (isa-11)},
  year={2015}
}

@article{fdtb1:danlos:2015,
  TITLE = {{FDTB1} : Rep{\'e}rage des connecteurs de discours dans un corpus fran{\c c}ais},
  AUTHOR = {Danlos, Laurence and Colinet, Margot and Steinlin, Jacques},
  JOURNAL = {{ Discours - Revue de linguistique, psycholinguistique et informatique}},
  PUBLISHER = {{Laboratoire LATTICE}},
  YEAR = {2015}
}

@inproceedings{stede:parallel:2016,
  title={Parallel discourse annotations on a corpus of short texts},
  author={Stede, Manfred and Afantenos, Stergos and Peldzsus, Andreas and Asher, Nicholas and Perret, J{\'e}r{\'e}my},
  booktitle={10th International Conference on Language Resources and Evaluation (LREC 2016)},
  pages={1051--1058},
  year={2016}
}
@inproceedings{rehbein:annotating:2016,
  title={Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks},
  author={Rehbein, Ines and Scholman, Merel and Demberg, Vera},
  booktitle={Proceedings of LREC},
  year={2016}
}


@inproceedings{bunt:iso:2016,
  title={ISO DR-Core (ISO 24617-8): Core concepts for the annotation of discourse relations},
  author={Bunt, Harry and Prasad, Rashmi},
  booktitle={Proceedings 12th joint ACL-ISO workshop on interoperable semantic annotation (ISA-12)},
  pages={45--54},
  year={2016}
}



@inproceedings{amblard:taxonomy:2019,
  TITLE = {{A Taxonomy of Real-Life Questions and Answers in Dialogue}},
  AUTHOR = {Amblard, Maxime and Boritchev, Maria and Carletti, Marta and Dieudonat, Lea and Tsai, Yiting},
  
  BOOKTITLE = {{Proceedings of SemDial}},
  YEAR = {2019}
}

@article{webber:penn:2019,
  title={The penn discourse treebank 3.0 annotation manual},
  author={Webber, Bonnie and Prasad, Rashmi and Lee, Alan and Joshi, Aravind},
  journal={Philadelphia, University of Pennsylvania},
  year={2019}
}

@article{zeyrek2019ted,
  title={{TED} {M}ultilingual {D}iscourse {B}ank ({TED-MDB}): a parallel corpus annotated in the {PDTB} style},
  author={Zeyrek, Deniz and Mendes, Am{\'a}lia and Grishina, Yulia and Kurfal{\i}, Murathan and Gibbon, Samuel and Ogrodniczuk, Maciej},
  journal={Language Resources and Evaluation},
  volume={54},
  pages={587--613},
  year={2020},
  publisher={Springer}
}

@inproceedings{long2020ted,
  title={TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks},
  author={Long, Wanqiu and Webber, Bonnie and Xiong, Deyi},
  booktitle={Proceedings of EMNLP},
  year={2020}
}

@inproceedings{li:molweni:2020,
  title={Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure},
  author={Li, Jiaqi and Liu, Ming and Kan, Min-Yen and Zheng, Zihao and Wang, Zekun and Lei, Wenqiang and Liu, Ting and Qin, Bing},
  booktitle={Proceedings of COLING},
  year={2020}
}




% ++ WORD EMBEDDINGS

@article{pearson:pca:1901,
  author = {Pearson, Karl},
  issue = {6},
  journal = {Philosophical Magazine},
  pages = {559--572},
  title = {On Lines and Planes of Closest Fit to Systems of Points in Space},
  volume = 2,
  year = {1901}
}


@article{harris:distributional:1954,
    author = {Harris, Zellig S.},
    title = {Distributional structure},
    journal = {Word},
    year = {1954},
    volume = {10(23)},
    pages = {146--162}
}

@article{brown:class:1992,
    author  = {Brown, Peter F. and deSouza, Peter V. and Mercer, Robert L. and 
        Della Pietra, Vincent J. and Lai, Jenifer C. },
    title   = {Class-Based n-gram Models of Natural Language},
    journal = {Computational Linguistics},
    year    = {1992},
    volume  = {18},
    pages   = {467--479}
}

@article{bengio:neural:2003,
 author     = {Bengio, Yoshua and Ducharme, R{\'e}jean and Vincent, Pascal and 
     Janvin, Christian},
 title      = {A Neural Probabilistic Language Model},
 journal    = {Journal of Machine Learning Research},
 volume     = {3},
 year       = {2003},
 pages      = {1137--1155}
} 

@phdthesis{sahlgren:word:2006,
  AUTHOR = {Sahlgren, Magnus},
  TITLE = {The word-space model:
Using distributional analysis to represent syntagmatic
and paradigmatic relations between
words in high-dimensional vector spaces},
  YEAR = {2006},
  SCHOOL = {Stockholm University}
}


@inproceedings{mnih:three:2007,
    author     = {Mnih, Andriy and Hinton, Geoffrey},
    title      = {Three New Graphical Models for Statistical Language Modelling},
    booktitle  = {Proceedings of ICML},
    year       = {2007}
} 

@inproceedings{collobert:unified:2008,
  title     = {A Unified Architecture for Natural Language Processing: Deep Neural 
      Networks with Multitask Learning},
  author    = {Collobert, Ronan and Weston, Jason},
  booktitle = {Proceedings of ICML},
  year      = {2008}
}

@inproceedings{koo:simple:2008,
  author    = {Koo, Terry  and  Carreras, Xavier  and  Collins, Michael},
  title     = {Simple Semi-supervised Dependency Parsing},
  booktitle = {Proceedings of ACL-HLT},
  year      = {2008}
}

@inproceedings{candito:improving:2009,
  author        = {Candito, Marie and Crabb{\'{e}}, Benoît},
  booktitle     = {Proceedings of the International Conference on Parsing 
      Technologies},
  title         = {Improving generative statistical parsing with semi-supervised word 
      clustering},
  year          = {2009}
}

@inproceedings{turian:word:2010,
    author      = {Turian, Joseph and Ratinov, Lev-Arie and Bengio, Yoshua},
    title       = {Word Representations: A Simple and General Method for 
        Semi-Supervised Learning},
    booktitle   = {Proceedings of ACL},
    year        = {2010}
}

@article{mitchell:composition:2010, 
    author      = {Mitchell, Jeff and Lapata, Mirella}, 
    title       = {Composition in Distributional Models of Semantics}, 
    journal     = {Cognitive Science}, 
    year        = {2010}, 
    volume      = {34}, 
    number      = {8}, 
    pages       = {1388--1439} 
}

@inproceedings{grefenstette:experimental:2011,
    author      = {Grefenstette, Edward and Sadrzadeh, Mehrnoosh},
    title       = {Experimental Support for a Categorical Compositional Distributional 
        Model of Meaning},
    booktitle   = {Proceedings of EMNLP},
    year        = {2011}
} 

@inproceedings{maas:learning:2011,
    author      = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. 
        and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
    title       = {Learning Word Vectors for Sentiment Analysis},
    booktitle   = {Proceedings of ACL-HLT},
    year        = {2011}
} 

@inproceedings{blacoe:comparison:2012,
    author      = {Blacoe, William and Lapata, Mirella},
    title       = {A Comparison of Vector-based Representations for Semantic 
        Composition},
    booktitle   = {Proceedings of EMNLP-CoNLL},
    year        = {2012}
} 

@inproceedings{lebret:word:2013,
    author    = {Lebret, R{\'{e}}mi and Collobert, Ronan},
    title     = {Word Emdeddings through Hellinger {PCA}},
    booktitle = {Proceedings of ACL},
    year      = {2014}
}

@inproceedings{chen:expressive:2013,
	author = {Chen, Yanqing and Perozzi, Bryan and Al-Rfou, Rami and Skiena, Steven},
	title = {The Expressive Power of Word Embeddings},
	booktitle = {Proceedings of ICML Workshop on Deep Learning for Audio, Speech, and 
        Language Processing},
	year = {2013}
}

@inproceedings{labutov:reembedding:2013,
    author      = {Labutov, Igor and Lipson, Hod},
    title       = {Re-embedding words},
    booktitle   = {Proceedings of ACL},
    year        = {2013}
}

@inproceedings{quoc:distributed:2014,
    author    = {Le, Quoc V. and Mikolov, Tomas},
    title     = {Distributed Representations of Sentences and Documents},
    booktitle = {Proceedings of ICML},
    year      = {2014}
}

@inproceedings{stratos:simple:2015,
    author      = {Stratos, Karl and Collins, Michael},
    booktitle   = {Proceedings of NAACL Workshop on Vector Space Modeling for NLP},
    title       = {Simple Semi-Supervised POS Tagging},
    year        = {2005}
}

@inproceedings{asher:stac:2016,
    title = "Discourse Structure and Dialogue Acts in Multiparty Dialogue: the {STAC} Corpus",
    author = "Asher, Nicholas  and
      Hunter, Julie  and
      Morey, Mathieu  and
      Farah, Benamara  and
      Afantenos, Stergos",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1432",
    pages = "2721--2727",
    abstract = "This paper describes the STAC resource, a corpus of multi-party chats annotated for discourse structure in the style of SDRT (Asher and Lascarides, 2003; Lascarides and Asher, 2009). The main goal of the STAC project is to study the discourse structure of multi-party dialogues in order to understand the linguistic strategies adopted by interlocutors to achieve their conversational goals, especially when these goals are opposed. The STAC corpus is not only a rich source of data on strategic conversation, but also the first corpus that we are aware of that provides full discourse structures for multi-party dialogues. It has other remarkable features that make it an interesting resource for other topics: interleaved threads, creative language, and interactions between linguistic and extra-linguistic contexts.",
}

% ++ REPRESENTATION LEARNING

@article{jernite:discourse:2017,
  title={Discourse-based objectives for fast unsupervised sentence representation learning},
  author={Jernite, Yacine and Bowman, Samuel R and Sontag, David},
  journal={arXiv preprint arXiv:1705.00557},
  year={2017}
}

@article{sileo:discourse:2019,
  title={Discourse-Based Evaluation of Language Understanding},
  author={Sileo, Damien and Van-de-Cruys, Tim and Pradel, Camille and Muller, Philippe},
  journal={arXiv preprint arXiv:1907.08672},
  year={2019}
}

@inproceedings{sileo:composition:2019,
  title={Composition of Embeddings: Lessons from Statistical Relational Learning},
  author={Sileo, Damien and Van de Cruys, Tim and Pradel, Camille and Muller, Philippe},
  booktitle={Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (StarSEM)},
  year={2019}
}

@inproceedings{sileo:mining:2019,
  title={Mining Discourse Markers for Unsupervised Sentence Representation Learning},
  author={Sileo, Damien and Van De Cruys, Tim and Pradel, Camille and Muller, Philippe},
  booktitle={Proceedings of NAACL},
  year={2019}
}

@inproceedings{nie2019dissent,
  title={DisSent: Learning sentence representations from explicit discourse relations},
  author={Nie, Allen and Bennett, Erin and Goodman, Noah},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={4497--4510},
  year={2019}
}

@inproceedings{rutherford-etal-2017-systematic,
    title = "A Systematic Study of Neural Discourse Models for Implicit Discourse Relation",
    author = "Rutherford, Attapol  and
      Demberg, Vera  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/E17-1027",
    pages = "281--291",
    abstract = "Inferring implicit discourse relations in natural language text is the most difficult subtask in discourse parsing. Many neural network models have been proposed to tackle this problem. However, the comparison for this task is not unified, so we could hardly draw clear conclusions about the effectiveness of various architectures. Here, we propose neural network models that are based on feedforward and long-short term memory architecture and systematically study the effects of varying structures. To our surprise, the best-configured feedforward architecture outperforms LSTM-based model in most cases despite thorough tuning. Further, we compare our best feedforward system with competitive convolutional and recurrent networks and find that feedforward can actually be more effective. For the first time for this task, we compile and publish outputs from previous neural and non-neural systems to establish the standard for further comparison.",
}



@inproceedings{sanh:hierarchical:2019,
  title={A hierarchical multi-task approach for learning embeddings from semantic tasks},
  author={Sanh, Victor and Wolf, Thomas and Ruder, Sebastian},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  number={01},
  pages={6949--6956},
  year={2019}
}



@inproceedings{jawahar2019does,
  title={What Does BERT Learn about the Structure of Language?},
  author={Jawahar, Ganesh and Sagot, Beno{\^\i}t and Seddah, Djam{\'e}},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={3651--3657},
  year={2019}
}

@inproceedings{ferracane:evaluating:2019,
  title={Evaluating Discourse in Structured Text Representations},
  author={Ferracane, Elisa and Durrett, Greg and Li, Junyi Jessy and Erk, Katrin},
  booktitle={Proceedings of ACL},
  year={2019}
}


% ++ ADAPTATION DE DOMAINE

@inproceedings{kubat:addressing:1997,
    author = {Kubat, Miroslav and Matwin, Stan},
    title = {Addressing the Curse of Imbalanced Training Sets: One-Sided Selection},
    booktitle = {In Proceedings of ICML},
    year = {1997},
}

@article{daelemans:forgetting:1999,
    author = {Daelemans, Walter and Van Den Bosch, Antal and Zavrel, Jakub},
    title = {Forgetting exceptions is harmful in language learning},
    journal = {Machine Learning},
    year = {1999},
    pages = {11--43},
    volume = {34}
}

@article{shimodaira:improving:2000,
    author = {Shimodaira, Hidetoshi},
    title = {Improving predictive inference under covariate shift by weighting
	    the log-likelihood function},
    journal = {Journal of Statistical Planning and Inference},
    year = {2000}
}

@inproceedings{vucetic:classification:2001,
    author = {Vucetic, Slobodan and Obradovic, Zoran},
    title = {Classification on Data with Biased Class Distribution},
    booktitle = {Proceedings of ECML},
    year = {2001}
}

@inproceedings{latinne:adjusting:2001,
    author = {Latinne, Patrice and Saerens, Marco and Decaestecker, Christine},
    title = {Adjusting the Outputs of a Classifier to New a Priori Probabilities May 
      Significantly Improve Classification Accuracy: Evidence from a multi-class 
          problem in remote sensing},
    booktitle = {ICML},
    year = {2001}
}

@book{hastie:statistical:2001,
  author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
  publisher = {Springer New York Inc.},
  series = {Springer Series in Statistics},
  title = {The Elements of Statistical Learning},
  year = 2001
}



@article{lin:support:2002,
    author = {Lin, Yi and Lee, Yoonkyung and Wahba, Grace},
    title = {Support Vector Machines for Classification in Nonstandard Situations},
    journal = {Machine Learning},
    year = {2002}
}

@article{saerens:adjusting:2002,
    author = {Saerens, Marco and Latinne, Patrice and Decaestecker, Christine},
    title = {Adjusting the Outputs of a Classifier to New a Priori Probabilities: 
        A Simple Procedure},
    journal = {Neural Computation},
    year = {2002}
}

@article{chawla:smote:2002,
    author = {Chawla, Nitesh V. and Bowyer, Kevin W. and Hall, Lawrence O. and 
        Kegelmeyer, W. Philip},
    title = {SMOTE: Synthetic Minority Over-sampling Technique},
    journal = {Journal of Artificial Intelligence Research},
    year = {2002}
}

@inproceedings{zadrozny:costsensitive:2003,
    author = {Zadrozny, Bianca and Langford, John and Abe, Naoki},
    title = {Cost-Sensitive Learning by Cost-Proportionate Example Weighting},
    booktitle = {Proceedings of the IEEE International Conference on Data Mining},
    year = {2003}
} 

@inproceedings{zadrozny:learning:2004,
    author = {Zadrozny, Bianca},
    title = {Learning and Evaluating Classifiers Under Sample Selection Bias},
    booktitle = {Proceedings of ICML},
    year = {2004}
} 

@article{chelba:adaptation:2004,
    author = {Chelba, Ciprian and Acero, Alex},
    title = {Adaptation of maximum entropy capitalizer: Little data can help a lot},
    journal = {Computer Speech \& Language},
    year = {2004},
    pages = {382--399},
    volume = 20,
}

@inproceedings{florian:statistical:2004,
    author = {Florian, Radu and Hassan, Hany and Ittycheriah, Abraham 
        and Jing, Hongyan and Kambhatla, Nanda and Luo, Xiaoqiang 
            and Nicolov, Nicolas and Roukos, Salim},
    title = {A statistical model for multilingual entity detection and tracking},
    booktitle = {In Proceedings of NAACL/HLT},
    year = {2004}
}

@article{chan:word:2005,
    author = {Chan, Yee S. and Ng, Hwee T.},
    title = {Word Sense Disambiguation with Distribution Estimation},
    journal = {Proceedings of IJCAI05},
    year = {2005}
}

@article{sugiyama:input-dependent:2005,
    author = {Masashi, Sugiyama and Klaus-Robert, Müller},
    title = {Input-dependent estimation of generalization error under covariate 
        shift},
    journal = {Statistics \& Risk Modeling},
    year = {2005}
}
 
@article{daume:domain:2006,
    author = {Daum\'e {III}, Hal and Marcu, Daniel},
    title = {Domain adaptation for statistical classifiers},
    journal = {Journal of Artificial Intelligence Research},	
    year = {2006},
    pages = {101–-126},
    volume = {26}
}

@inproceedings{blitzer:domain:2006,
    author = {Blitzer, John and McDonald, Ryan and Pereira, Fernando},
    title = {Domain Adaptation with Structural Correspondence Learning},
    booktitle = {Proceedings of EMNLP},
    year = {2006},
} 

@inproceedings{bendavid:analysis:2007,
    author = {Ben-David, Shai and Blitzer, John and Crammer, Koby and Pereira, 
        Fernando},
    title = {Analysis of Representations for Domain Adaptation},
    booktitle = {Proceedings of Advances in Neural Information Processing Systems 20},
    year = {2007}
}

@inproceedings{daume:frustratingly:2007,
    author = {Daum\'e {III}, Hal},
    title = {Frustratingly Easy Domain Adaptation},
    booktitle = {Proceedings of ACL},
    year = {2007}
}

@inproceedings{koehn:experiments:2007,
    author = {Koehn, Philipp and Schroeder, Josh},
    title = {Experiments in Domain Adaptation for Statistical Machine Translation},
    booktitle = {Proceedings of the Workshop on Statistical Machine Translation},
    year = {2007},
} 

@inproceedings{satpal:domain:2007,
  author = {Satpal, Sandeepkumar and Sarawagi, Sunita},
  title = {Domain Adaptation of Conditional Probability Models Via Feature 
      Subsetting},
  booktitle = {Proceedings of PKDD},
  year = {2007}
}

@inproceedings{jiang:instance:2007,
    author = {Jiang, Jing and Zhai, ChengXiang},
    title = {Instance Weighting for Domain Adaptation in NLP},
    booktitle = {Proceedings of ACL},
    year = {2007}
}

@inproceedings{jiang:two-stage:2007,
    author = {Jiang, Jing and Zhai, ChengXiang},
    title = {A two-stage approach to domain adaptation for statistical classifiers},
    booktitle = {Proc. ACM Conf. on Information and Knowledge Management (CIKM)},
    year = {2007}
}

@inproceedings{blitzer:biographies:2007,
    author = {Blitzer, John and Dredze, Mark and Pereira, Fernando},
    title = {Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification},
    booktitle = {Proceedings of ACL},
    year = {2007}
}

@article{sugiyama:covariate:2007,
    author = {Sugiyama, Masashi and Krauledat, Matthias and Müller, Klaus-Robert},
    title = {Covariate Shift Adaptation by Importance Weighted Cross Validation},
    journal = {Journal of Machine Learning Research},
    year = {2007}
}

@inproceedings{bickel:discriminative:2007,
    author = {Bickel, Steffen and Br\"{u}ckner, Michael and Scheffer, Tobias},
    title = {Discriminative Learning for Differing Training and Test Distributions},
    booktitle = {Proceedings of ICML},
    year = {2007}
}

@inproceedings{bickel:dirichlet:2007,
    author = {Bickel, Steffen and Scheffer, Tobias},
    title = {Dirichlet-enhanced spam filtering based on biased samples},
    booktitle = {Proceedings of NIPS},
    year = {2007}
}

@inproceedings{huang:correcting:2007,
    author = { Huang, Jiayuan and Gretton, Arthur and Borgwardt, Karsten M. and 
        Sch\"{o}lkopf, Bernhard and Smola, Alex J.},
    title = {Correcting Sample Selection Bias by Unlabeled Data},  
    booktitle = {Proceedings of NIPS},
    year = {2007}
}

@inproceedings{storkey:mixture-modelling:2007,
    author = {Storkey, Amos J. and Sugiyama, Masashi},
    title = {Mixture Regression for Covariate Shift},
    booktitle = {Proceedings of NIPS},    
    year = {2007}
}

@inproceedings{li:bayesian:2007,
    author = {Li, Xiao and Bilmes, Jeff},
    title =  {A Bayesian Divergence Prior for Classifier Adaptation},
    booktitle = {Eleventh International Conference on Artificial Intelligence 
       and Statistics},
    year =    {2007}
}

@inproceedings{dai:transferring:2007,
    author = {Dai, Wenyuan and Xue, Gui-Rong and Yang, Qiang and Yu, Yong},
    title = {Transferring Naive Bayes Classifiers for Text Classification},
    booktitle = {Proceedings of AAAI},
    year = {2007}
}

@inproceedings{dai:boosting:2007,
    author = {Dai, Wenyuan and Yang, Qiang and Xue, Gui-Rong and Yu, Yong},
    title = {Boosting for Transfer Learning},
    booktitle = {Proceedings of ICML},
    year = {2007}
}

@inproceedings{xing:bridged:2007,
    author    = {Xing, Dikan and Dai, Wenyuan and Xue, Gui{-}Rong and Yu, Yong},
    title     = {Bridged Refinement for Transfer Learning},
    booktitle = {Proceedings of PKDD},
    year      = {2007}
}
 
@inproceedings{zhu:activelearning:2007,
    author      = {Zhu, Jingbo and Hovy, Eduard},
    title       = {Active Learning for Word Sense Disambiguation with Methods for 
        Addressing the Class Imbalance Problem},
    booktitle   = {Proceedings of EMNLP/CoNLL},
    year        = {2007}
}

@inproceedings{xue:topic:2008,
    author = {Xue, Gui-Rong and Dai, Wenyuan and Yang, Qiang and Yu, Yong},
    title = {Topic-bridged PLSA for Cross-domain Text Classification},
    booktitle = {Proceedings of SIGIR},
    year = {2008}
} 

@misc{jiang:literature:2008,
    author = {Jiang, Jing},
    title = {A Literature Survey on Domain Adaptation of Statistical Classifiers},
    year = {2008}
}

@inproceedings{sugiyama:direct:2008,
    author = {Sugiyama, Masashi and Nakajima, Shinichi and Kashima, Hisashi and 
        Von Bünau, Paul and Kawanabe, Motoaki},
    title = {Direct importance estimation with model selection and its application 
        to covariate shift adaptation},
    booktitle = {Proceedings of NIPS},
    year = {2008}
}
 
@inproceedings{mansour:domain:2009,
    author = {Mansour, Yishay and Mohri, Mehryar and Rostamizadeh, Afshin},
    title = {Domain Adaptation: Learning Bounds and Algorithms},
    booktitle = {Proceedings of COLT},
    year = {2009}
}

@inproceedings{tur:coadaptation:2009,
    author = {Tur, Gokhan},
    title = {Co-adaptation: Adaptive Co-training for Semi-supervised Learning},
    booktitle = {Proceedings of the International Conference on Acoustics, 
        Speech and Signal Processing},
    year = {2009}
}

@inproceedings{finkel:hierarchical:2009,
    author = {Finkel, Jenny Rose and Manning, Christopher D.},
    title = {Hierarchical Bayesian Domain Adaptation},
    booktitle = {Proceedings of ACL-HLT},
    year = {2009}
}

@article{guan:nearest:2009,
    author = {Guan, Donghai and Yuan, Weiwei and Lee, Young-Koo and Lee, Sungyoung},
    title = {Nearest neighbor editing aided by unlabeled data},
    journal = {Information Sciences},
    year = {2009},
    pages = {2273--2282},
    volume = {179}
}

@inproceedings{guo:domain:2009,
    author = {Guo, Honglei and Zhu, Huijia and Guo, Zhili and Zhang, 
        Xiaoxun and Wu, Xian and Su, Zhong},
    title = {Domain Adaptation with Latent Semantic Association for Named 
        Entity Recognition},
    booktitle = {Proceedings of NAACL-HLT},
    year = {2009}
} 


@inproceedings{mcclosky:automatic:2010,
    author = {McClosky, David and Charniak, Eugene and Johnson, Mark},
    title = {Automatic Domain Adaptation for Parsing},
    booktitle = {Proceedings of NAACL-HLT},
    year = {2010}
}
 
@inproceedings{daume:frustratingly:2010,
    author = {Daum{\'e} {III}, Hal and Kumar, Abhishek and Saha, Avishek},
    title = {Frustratingly Easy Semi-supervised Domain Adaptation},
    booktitle = {Proceedings of the Workshop on Domain Adaptation for Natural 
        Language Processing},
    year = {2010}
} 

@inproceedings{vanasch:using:2010,
    author = {Van Asch, Vincent and Daelemans, Walter},
    title = {Using Domain Similarity for Performance Estimation},
    booktitle = {Proceedings of the Workshop on Domain Adaptation for Natural 
        Language Processing},
    year = {2010}
}

@article{pan:survey:2010,
    author = {Pan, Sinno Jialin and Yang, Qiang},
    title = {A Survey on Transfer Learning},
    journal = {IEEE Trans. on Knowl. and Data Eng.},
    year = {2010},
    pages = {1345--1359},
    publisher = {IEEE Educational Activities Department}
} 

@inproceedings{axelrod:domain:2011,
    author = {Axelrod, Amittai and He, Xiaodong and Gao, Jianfeng},
    title = {Domain Adaptation via Pseudo In-domain Data Selection},
    booktitle = {Proceedings of EMNLP},
    year = {2011},
}

@inproceedings{petasis:unsupervised:2011,
    author = {Petasis, Georgios},
    title = {{U}nsupervised {D}omain {A}daptation based on {T}ext {R}elatedness},
    booktitle = {Proceedings of RANLP},
    year = {2011}
}

@inproceedings{sogaard:semisupervised:2011,
    author = {Søgaard, Anders},
    title = {Semi-supervised condensed nearest neighbor for part-of-speech tagging},
    booktitle = {Proceedings of ACL},
    year = {2011},
}

@inproceedings{sogaard:data:2011,
    author = {Søgaard, Anders},
    title = {Data point selection for cross-language adaptation of dependency parsers},
    booktitle = {Proceedings of ACL},
    year = {2011},
}

@inproceedings{sogaard:sentence:2011,
    author = {Søgaard, Anders and Haulrich, Martin},
    title = {Sentence-Level Instance-Weighting for Graph-Based and Transition-Based 
        Dependency Parsing},
    booktitle = {Proceedings of IWPT},
    year = {2011},
}

@article{moreno:unifying:2012,
    author = {Moreno-Torres, Jose G. and Raeder, Troy 
        and Alaiz-Rodr\'{\i}guez, Roc\'{\i}o and Chawla, Nitesh V. and Herrera, Francisco},
    title = {A unifying view on dataset shift in classification},
    journal = {Pattern Recognition},
    year = {2012},
    pages = {521--530},
    volume = {45}
}

@inproceedings{mohri:analysis:2012,
    author = {Mohri, Mehryar and Mu\~{n}oz Medina, Andres},
    title = {New Analysis and Algorithm for Learning with Drifting Distributions},
    booktitle = {Proceedings of the International Conference on Algorithmic Learning Theory},
    year = {2012}
} 

@techreport{li:literature:2012,
    author = {Li, Qi},
    title = {Literature survey: Domain Adaptation Algorithms for Natural Language 
        Processing},
    year = {2012},
    institution = {City University of New York}
}

@inproceedings{long:transfer:2012,
    author = {Long, Mingsheng and Wang, Jianmin and Ding, Guiguang and Shen, 
        Dou and Yang, Qiang},
    title = {Transfer Learning with Graph Co-Regularization},
    booktitle = {Proceedings of AAAI},
    year = {2012}
}

@misc{sogaard:semisupervised:2012,
    author = {Søgaard, Anders and Planck, Barbara},
    title = {Parsing the web as covariance shift},
    howpublished = {Notes of the First Workshop of the First Workshop on Syntactic 
        Analysis of Non-Canonical Language},
    year = {2012}
}

@book{sogaard:semisupervised:2013,
    author = {Søgaard, Anders},
    title = {Semi-supervised learning and domain adaptation in natural language 
        processing},
    publisher = {Morgan \& Claypool},
    year = {2013}
}





% ++ DONNEES BRUITEES

@inproceedings{raykar:supervised:2009,
    author = {Raykar, Vikas C. and Yu, Shipeng and Zhao, Linda H. 
        and Jerebko, Anna K. and Florin, Charles and Valadez, Gerardo Hermosillo 
            and Bogoni, Luca and Moy, Linda},
    title = {Supervised learning from multiple experts: whom to trust when everyone lies a bit},
    booktitle = {Proceedings of ICML},
    year = {2009}
}

@article{go:twitter:2009,
    author = {Go, Alec and Bhayani, Richa and Huang, Lei},
    title = {Twitter Sentiment Classification using Distant Supervision},
    journal = {Processing},
    year = {2009},
    pages = {1--6}
}



% ++ NON IID DATA

@inproceedings{dundar:learning:2007,
    author = {Dundar, Murat and Krishnapuram, Balaji and Bi, Jinbo and Rao, R. Bharat},
    title = {Learning Classifiers When the Training Data Is Not IID},
    booktitle = {Proceedings of IJCAI},
    year = {2007}
}

@article{shen:family:2009,
    author = {Shen, Jianqiang and Dietterich, Thomas G.},
    title = {A family of large margin linear classifiers and its application in dynamic environments},
    journal = {Statistical Analysis and Data Mining},
    year = {2009},
    pages = {328--345},
    volume = {2}
}

@inproceedings{tillman:structure:2009,
    author = {Tillman, Robert E.},
    title = {Structure learning with independent non-identically distributed data},
    booktitle = {Proceedings of ICML},
    year = {2009}
}

@inproceedings{zhou:multiInstance:2009,
    author = {Zhou, Zhi-Hua and Sun, Yu-Yin and Li, Yu-Feng},
    title = {Multi-instance Learning by Treating Instances As non-I.I.D. Samples},
    booktitle = {Proceedings of ICML},
    year = {2009}
} 

@inproceedings{steinwart:fast:2009,
    author = {Steinwart, Ingo and Christmann, Andreas},
    title = {Fast learning from non-i.i.d. observations},
    booktitle = {Proceedings of NIPS},
    year = {2009}
}

@article{he:learning:2009,
    author = {He, Haibo  and Garcia, Edwardo A.},
    title = {Learning from Imbalanced Data},
    journal ={IEEE Transactions on Knowledge and Data Engineering},
    year = {2009},
    pages = {1263--1284},
    volume = {21}
}

@book{quionero:dataset:2009,
    author = {Quionero-Candela, Joaquin and Sugiyama, Masashi and Schwaighofer, 
        Anton and Lawrence, Neil D.},
    title = {Dataset Shift in Machine Learning},
    year = {2009},
    publisher = {MIT Press},
} 

@inbook{storkey:training:2009,
    author = {Storkey, Amos J.},
    year = {2009},
    title = {When training and test sets are different: characterizing learning 
        transfer},
    publisher = {MIT Press},
    pages = {3–-28},
    editor = {Candela, J. and Sugiyama, M. and Schwaighofer, A. and Lawrence, N. eds.},
    volume = {Dataset Shift in Machine Learning}
}
 
@inproceedings{cortes:learning:2010,
    author = {Cortes, Corinna and Mansour, Yishay and Mohri, Mehryar},
    title = {Learning Bounds for Importance Weighting},
    booktitle = {NIPS},
    year = {2010}
}

@techreport{ralaivola:contributions:2010,
    author = {Ralaivola, Liva},
    title = {Quelques contributions en apprentissage statistique : bruit, non-IID et noyaux},
    institution = {Université de Provence}, 
    type = {Habilitation à diriger des recherches}, 
    year = {2010}
}

@book{he:imbalanced:2013,
    author = {He, Haibo and Ma, Yunqian},
    title = {Imbalanced Learning: Foundations, Algorithms, and Applications},
    year = {2013},
    publisher = {Wiley-IEEE Press}
} 

@incollection{weiss:foundation:2013,
    author = {Weiss, Gary M.},
    title = {Foundations of Imbalanced Learning},
    booktitle = {Imbalanced Learning: Foundations, Algorithms, and Applications},
    year = {2013},
    editor = {He, Haibo and Ma, Yunqian},
    publisher = {Wiley-IEEE Press}
} 





% ++ ML

@article{freund:decision:1997,
 author = {Freund, Yoav and Schapire, Robert E.},
 title = {A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting},
 journal = {Journal of Computer and System Sciences},
 volume = {55},
 number = {1},
 year = {1997},
 pages = {119--139}
} 


@article{bi:dimensionality:2003,
    author = {Bi, Jinbo and Bennett, Kristin P. and Embrechts, Mark 
        and Breneman, Curt M. and Song, Minghu and Guyon, Isabelle and Elisseeff, André},
    title = {Dimensionality Reduction via Sparse Support Vector Machines},
    journal = {Journal of Machine Learning Research},
    year = {2003},
    pages = {1229--1243},
    volume = {3}
}

@inproceedings{brinkman:impossibility:2003,
  author = {Brinkman, Bo and Charikar, Moses},
  title = {On the Impossibility of Dimension Reduction in l1},
  booktitle = {FOCS},
  year = {2003}
}
 
@book{manning:introduction:2008,
    author = {Manning, Christopher D. and Raghavan, Prabhakar and Sch\"{u}tze, Hinrich},
    title = {Introduction to Information Retrieval},
    publisher = {Cambridge University Press},
    year = {2008}
}

@article{hand:classifier:2009,
    author = {Hand, David J.},
    title = {Classifier Technology and the Illusion of Progress},
    journal = {Statistical Science},
    year = 2006
}

@inproceedings{wagstaff:machine:2012,
    author = {Wagstaff, Kiri L.},
    title = {Machine Learning that Matters},
    booktitle = {Proceedings of ICML},
    year = {2012}
}

@book{mohri:foundations:2012,
    author = {Mohri, Mehryar and Rostamizadeh, Afshin and Talwalkar, Ameet},
    title = {Foundations of Machine Learning},
    publisher = {MIT Press},
    year = {2012}
}

@article{kulis:metric:2013,
    author    = {Kulis, Brian},
    title     = {Metric Learning: {A} Survey},
    journal   = {Foundations and Trends in Machine Learning},
    year      = {2013},
    volume    = {5},
    number    = {4},
    pages     = {287--364},
}





% ++ ML : ALGO

@article{dietterich:solving:1995,
    author = {Dietterich, Thomas G. and Bakiri, Ghulum},
    title = {Solving Multiclass Learning Problems via Error-correcting Output Codes},
    journal = {Journal of Artificial Intelligence Research},
    volume = {2},
    number = {1},
    year = {1995},
    pages = {263--286}
} 


@article{berger:maximum:1996,
    author = {Berger, Adam L. and Della Pietra, Stephen A. and Della Pietra, Vincent J.},
    title = {A maximum entropy approach to natural language processing},
    year = {1996},
    pages = {39–-71},
    volume = {22}
}

@inproceedings{liere:active:1997,
    author = {Liere, Ray and Tadepalli, Prasad},
    title = {Active Learning with Committees for Text Categorization.},
    booktitle = {Proceedings of AAAI/IAAI},
    year = {1997}
}

@inproceedings{hastie:classification:1998,
 author = {Hastie, Trevor and Tibshirani, Robert},
 title = {Classification by Pairwise Coupling},
 booktitle = {Proceedings of NIPS},
 year = {1998}
} 


@article{Freund&Shapire:1999,
    author = {Freund, Yoav and Schapire, Robert E.},
    title = {Large margin classification using the perceptron algorithm},
    journal = {Machine Learning},
    year = {1999},
    pages = {277--296},
    volume = {37(3)}
}

@article{allwein:reducing:2000,
  author = {Allwein, Erin L. and Schapire, Robert E. and Singer, Yoram},
  journal = {Journal of Machine Learning Research},
  pages = {113--141},
  title = {Reducing Multiclass to Binary: A Unifying Approach for Margin 
      Classifiers.},
  volume = 1,
  year = 2000
}
@inproceedings{dietterich:ensemble:2000,
 author = {Dietterich, Thomas G.},
 title = {Ensemble Methods in Machine Learning},
 booktitle = {Proceedings of the International Workshop on Multiple Classifier Systems},
 year = {2000}
} 



@article{crammer:learnability:2000,
   author = {Crammer, Koby and Singer, Yoram},
   title = {On the Learnability and Design of Output Codes for Multiclass Problems},
   journal = {Machine Learning},
   year = {2002},
   volume = {47},
   pages = {201--233}
} 
 
@article{schapire:boostexter:2000,
  author = {Schapire, Robert E. and Singer, Yoram},
  title = {BoosTexter: A Boosting-based System for Text Categorization},
  journal = {Machine Learning},
  year = {2000},
  pages = {135--168},
  volume = {39}
}

@article{rifkin:defense:2004,
    author = {Rifkin, Ryan and Klautau, Aldebaro},
    title = {In defense of one-vs-all classification},
    journal = {Journal of Machine Learning Research},
    year = {2004},
    pages = {101--141},
    volume = {5}
}

@inproceedings{evgeniou:regularized:2004,
    author = {Evgeniou, Theodoros and Pontil, Massimiliano},
    title = {Regularized Multi--task Learning},
    booktitle = {Proceedings of the ACM SIGKDD International Conference 
        on Knowledge Discovery and Data Mining},
    year = {2004}
} 

@article{krishnapuram:sparse:2005,
    author = {Krishnapuram, Balaji and Carin, Lawrence and Figueiredo, Mário A. T. 
        and Hartemink, Alexander J.},
    title = {Sparse multinomial logistic regression: Fast algorithms and 
        generalization bounds},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    volume = {27},
    pages = {957--968},
    year = {2005}
}

@ARTICLE{ando:framework:2005,
    author = {Ando, Rie K. and Zhang, Tong},
    year = {2005},
    title = {A framework for learning predictive structures from multiple tasks and
        unlabeled data},
    journal = {The Journal of Machine Learning Research}, 
    volume = {6},
    pages = {1817–-1853}
}

@inproceedings{costache:bayesian:2006,
    author = {Costache, Mihai and Liénou, Marie and Datcu, Mihai},
    title = {On Bayesian Inference, Maximum Entropy and Support Vector Machines Methods},
    booktitle = {Proceedings of AIP},
    year = {2006}
}

@article{crammer:online:2006,
    author = {Crammer, Koby and Dekel, Ofer and Keshet, Joseph 
        and Shalev-Shwartz, Shai and Singer, Yoram},
    title = {Online Passive-Aggressive Algorithms},
    journal = {The Journal of Machine Learning Research},
    year = 2006,
    pages = {551--585},
    volume = {7}
}
 
@article{cavallanti:linea:2010,
    author = {Cavallanti, Giovanni and Cesa-Bianchi, Nicol\'o and Gentile, Claudio},
    title = {Linear Algorithms for Online Multitask Classification},
    journal = {Journal of Machine Learning Research},
    year = {2010}
}

@inproceedings{matsushima:exact:2010,
    author = {Matsushima, Shin and Shimizu, Nobuyuki and Yoshida, Kazuhiro 
        and Ninomiya, Takashi and Nakagawa, Hiroshi},
    title = {Exact Passive-Aggressive Algorithm for Multiclass Classification Using 
        Support Class},
    booktitle = {Proceedings of the SIAM International Conference on Data Mining},
    year = {2010}
}

@techreport{goldberg:learning:2011,
   author = {Goldberg, Yoav and Elhadad, Michael},
   title = {Learning Sparser Perceptron Models},
   institution = {Ben Gurion University of the Negev},
   year = {2011}
}



% ++ ML : mesures d evaluation

@article{carletta:assessing:1996,
    author = {Carletta, Jean},
    title = {Assessing Agreement on Classification Tasks: The Kappa Statistic},
    journal = {Computational Linguistic},
    pages = {249--254},
    volume = {22},
    year = {1996}
}

@phdthesis{scheffer:error:1999,
  AUTHOR = {Scheffer, Tobias},
  TITLE = {Error Estimation and Model Selection},
  YEAR = {1999},
  SCHOOL = {Technischen Universitet Berlin, School of Computer Science}
}


@inproceedings{yeh:more:2000,
    author = {Yeh, Alexander S.},
    title = {More accurate tests for the statistical significance of result differences},
    booktitle = {Proceedings of COLING},
    year = {2000}
}

@article{hand:simple:2001,
    author = {Hand, David J. and Till, Robert J.},
    title = {A Simple Generalisation of the Area Under the ROC Curve for Multiple 
        Class Classification Problems},
    journal = {Machine Learning},
    year = {2001},
    pages = {171--186},
    volume = {45}
}

@inproceedings{keller:benchmarking:2005,
    author = {Keller, Mikaela and Bengio, Samy and Wong, Siew Yeung},
    title = {Benchmarking Non-Parametric Statistical Tests},
    booktitle = {Proceedings of NIPS},
    year = {2005}
}

@article{varma:bias:2006,
  title={Bias in error estimation when using cross-validation for model selection},
  author={Varma, Sudhir and Simon, Richard},
  journal={BMC bioinformatics},
  volume={7},
  number={1},
  pages={91},
  year={2006},
  publisher={BioMed Central Ltd}
}

@article{winter:using:2013,
    title = {Using the Student's t-test with extremely small sample sizes},
    author = {de Winter, Joost},
    journal = {Practical Assessment, Research \& Evaluation},
    volume = {18},
    number = {10},
    year = {2013}
}


@misc{morgan:statistical,
    author = {Morgan, William},
    title = {Statistical Hypothesis Tests for NLP or : Approximate Randomization 
        for Fun and Profit},
    institution = {Stanford NLP Group}
}

@unpublished{asch:micro:2013,
    author = {Van Asch, Vincent},
    title = {Macro-and micro-averaged evaluation measures},
    year = {2013}
}



% ++ ML : semi supervise

@inproceedings{yarowsky:unsupervised:1995,
    author = {Yarowsky, David},
    title = {Unsupervised Word Sense Disambiguation Rivaling Supervised Methods},
    booktitle = {Proceedings of ACL},
    year = {1995}
} 


@inproceedings{dagan:comitteebased:1995,
    author = {Dagan, Ido and Engelson, Sean P.},
    title = {Committee-Based Sampling For Training Probabilistic Classifiers},
    booktitle = {Proceedings of ICML},
    year = {1995}
}

@inproceedings{mccallum:employing:1998,
    author = {McCallum, Andrew and Nigam, Kamal},
    title = {Employing EM in pool-based active learning for text classification},
    booktitle = {Proceedings of ICML},
    year = {1998}
}
 
@inproceedings{blum:combining:1998,
   author = {Blum, Avrim and Mitchell, Tom},
   title = {Combining Labeled and Unlabeled Data with Co-training},
   booktitle = {Proceedings of the Conference on Computational 
       Learning Theory},
   year = {1998}
} 

@inproceedings{craven:constructing:1999,
  author = {Craven, Mark and Kumlien, Johan},
  booktitle = {Proceedings of the International Conference on Intelligent Systems 
      for Molecular Biology},
  title = {Constructing biological knowledge bases by extracting information from 
      text sources},
  year = {1999}
}

@article{nigam:text:2000,
    author = {Nigam, Kamal and McCallum, Andrew and Thrun, Sebastian and Mitchell, 
        Tom M.},
    title = {Text Classification from Labeled and Unlabeled Documents using EM},
    journal = {Machine Learning},
    year = {2000},
    pages = {103--134},
    volume = {39} 
}

@techreport{seeger:learning:2001,
    author = {Seeger, Matthias},
    title = {Learning with labeled and unlabeled data},
    institution = {University of Edinburgh},
    year = {2001}
}

@techreport{zhu:learning:2002,
    author = {Zhu, Xiaojin and Ghahramani, Zoubin},
    title = {Learning from Labeled and Unlabeled Data with
Label Propagation},
    institution = {Carnegie Mellon University},
    year = {2002}
}

@inproceedings{zhu:semi-supervised:2003,
    author = {Zhu, Xiaojin and Ghahramani, Zoubin and Lafferty, John},
    title = {Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions},
    booktitle = {Proceedings of ICML},
    year = {2003}
}
 
@inproceedings{belkin:regularization:2004,
    author = {Belkin, Mikhail and Matveeva, Irina and Niyogi, Partha},
    title = {Regularization and semi-supervised learning on large graphs},
    booktitle = {Proceedings of COLT},
    year = {2004}
}

@article{zhou:learning:2004,
    author = {Zhou, Dengyong and Bousquet, Olivier and Lal, Thomas N. 
        and Weston, Jason and Scholkopf, Bernhard},
    title = {Learning with local and global consistency},
    journal = {Advances in Neural Information Processing Systems},
    year = {2004},
    pages = {321--328},
    volume = {16}
}

@inproceedings{mihalcea:cotraining:2004,
   author = {Mihalcea, Rada},
   title = {Co-training and Self-training for Word Sense Disambiguation},
   booktitle = {Proceedings of CoNLL},
   year = {2004}
}

@inproceedings{delalleau:efficient:2005,
    author = {Delalleau, Olivier and Bengio, Yoshua and {Le Roux}, Nicolas },
    title ={Efficient Non-Parametric Function Induction in Semi-Supervised Learning},
    booktitle = {Proceedings of the International Workshop on Artificial 
        Intelligence and Statistics},
    year = {2005}
}

@techreport{zhu:semisupervised:2005,
    author = {Zhu, Xiaojin},
    title = {Semi-Supervised Learning Literature Survey},
    institution = {Computer Sciences, University of Wisconsin-Madison},
    year = {2005}
}

@phdthesis{zhu:semisupervised:2005b,
    author = {Zhu, Xiaojin},
    title = {Semi-supervised Learning with Graphs},
    school = {Carnegie Mellon University},
    year = {2005}
} 
 
@incollection{bengio:label:2006,
    author = {Bengio, Yoshua and Delalleau, Olivier and {Le Roux}, Nicolas},
    title = {Label Propagation and Quadratic Criterion},
    booktitle = {Semi-Supervised Learning},
    year = {2006},
    editor = {Olivier Chapelle and Bernhard Sch{\"o}lkopf and Alexander Zien},
    pages = {193--216},
    publisher = {{MIT} Press}
}

@book {chapelle:semi-supervised:2006,
    author = {Chapelle, Olivier and Sch{\"o}lkopf, Bernhard and Zien, Alexander},
    title = {Semi-Supervised Learning},
    publisher = {MIT Press},
    series = {Adaptive computation and machine learning},
    year = {2006}
}

@inproceedings{alexandrescu:datadriven:2007,
    author = {Alexandrescu, Andrei and Kirchhoff, Katrin},
    title = {Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning 
        in {NLP}},
    booktitle = {HLT NAACL},
    year = {2007}
}

@article{rigollet:generalization:2007,
    author = {Rigollet, Philippe},
    title = {Generalization Error Bounds in Semi-supervised Classification Under 
        the Cluster Assumption},
    journal = {Journal of Machine Learning Research},
    year = {2007},
    pages = {1369--1392},
    volume = {8}
}

@inproceedings{galstyan:empirical:2007,
    author = {Galstyan, Aram and Cohen, Paul R.},
    title = {Empirical Comparison of "Hard" and "Soft" Label Propagation for 
        Relational Classification},
    booktitle = {Proceedings of ILP},
    year = {2007}
}

@book{abney:semisupervised:2007,
    author = {Abney, Steven},
    title = {Semisupervised Learning for Computational Linguistics},
    year = {2007},
    publisher = {Chapman \& Hall/CRC},
} 

@inproceedings{singh:unlabeled:2008,
    author    = {Singh, Aarti and Nowak, Robert D. and Zhu, Xiaojin},
    title     = {Unlabeled data: Now it helps, now it doesn't},
    booktitle = {Proceedings of NIPS},
    year      = {2008}
}

@inproceedings{mintz:distant:2009,
    author = {Mintz, Mike and Bills, Steven and Snow, Rion and Jurafsky, Dan},
    title = {Distant Supervision for Relation Extraction Without Labeled Data},
    booktitle = {Proceedings of ACL-IJCNLP},
    year = {2009}
} 


@inproceedings{talukdar:new:2009,
    author = {Talukdar, Partha Pratim and Crammer, Koby},
    title = {New Regularized Algorithms for Transductive Learning},
    booktitle = {Proceedings of the European Conference on Machine Learning and 
        Knowledge Discovery in Databases},
    year = {2009}
}

 
@inproceedings{yang:can:2011,
    author = {Yang, Haiqin and Zhu, Shenghuo and King, Irwin and Lyu, Michael R.},
    title = {Can Irrelevant Data Help Semi-supervised Learning, Why and How?},
    booktitle = {Proceedings of the ACM International Conference on Information 
        and Knowledge Management},
    year = {2011}
}

@inproceedings{speriosu:twitter:2011,
    author = {Speriosu, Michael and Sudan, Nikita and Upadhyay, Sid and Baldridge, 
        Jason},
    title = {Twitter Polarity Classification with Label Propagation over Lexical 
        Links and the Follower Graph},
    booktitle = {Proceedings of the Workshop on Unsupervised Learning in NLP},
    year = {2011}
}
 
@article{niyogi:manifold:2013,
    author = {Niyogi, Partha},
    title = {Manifold regularization and semi-supervised learning: some theoretical 
        analyses},
    journal = {Journal of Machine Learning Research},
    year = {2013},
    volume = {14},
    pages = {1229--1250}
}

@incollection{zhu:learning:2014,
    title = {Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm},
    author = {Zhu, Jun and Mao, Junhua and Yuille, Alan L},
    booktitle = {Advances in Neural Information Processing Systems},
    editor = {Ghahramani,Z.  and Welling, M. and Cortes, C. and  Lawrence,N.D. 
        and Weinberger, K.Q.},
    pages = {1125--1133},
    year = {2014},
    publisher = {Curran Associates, Inc.}
}

% ++ MULTILINGUAL

@inproceedings{mcdonald:multi:2011,
  title={Multi-source transfer of delexicalized dependency parsers},
  author={McDonald, Ryan and Petrov, Slav and Hall, Keith},
  booktitle={Proceedings of EMNLP},
  year={2011}
}

@inproceedings{naseem:selective:2012,
  title={Selective sharing for multilingual dependency parsing},
  author={Naseem, Tahira and Barzilay, Regina and Globerson, Amir},
  booktitle={Proceedings of ACL},
  year={2012}
}

@inproceedings{guo:cross:2015,
  title={Cross-lingual dependency parsing based on distributed representations},
  author={Guo, Jiang and Che, Wanxiang and Yarowsky, David and Wang, Haifeng and Liu, Ting},
  booktitle={Proceedings of ACL-IJCNLP},
  year={2015}
}

@inproceedings{sogaard:inverted:2015,
  title={Inverted indexing for cross-lingual NLP},
  author={S{\o}gaard, Anders and Agi{\'c}, {\v{Z}}eljko and Alonso, H{\'e}ctor Mart{\'\i}nez and Plank, Barbara and Bohnet, Bernd and Johannsen, Anders},
  booktitle={Proceedings of ACL-IJCNLP},
  year={2015}
}

@article{Ammar:ea:16,
  author    = {Waleed Ammar and
               George Mulcaire and
               Miguel Ballesteros and
               Chris Dyer and
               Noah A. Smith},
  title     = {One Parser, Many Languages},
  journal   = {arXiv preprint arXiv:1602.01595},
  year      = {2016}
}

@inproceedings{plank:multilingual:2016,
	author= {Plank, Barbara and S{\o}gaard, Anders and Goldberg,  Yoav}, 	 year = {2016},
    title = {Multilingual part-of-speech tagging with bidirectional
long short-term memory models and auxiliary loss},
	booktitle = {Proceedings of ACL}
    }
    
    @article{levy:reconsidering:2016,
  title={Reconsidering Cross-lingual Word Embeddings},
  author={Levy, Omer and S{\o}gaard, Anders and Goldberg, Yoav},
  journal={arXiv preprint arXiv:1608.05426},
  year={2016}
}

@inproceedings{levy:strong:2017,
	title={A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments},
	author={Levy, Omer and S{\o}gaard, Anders and Goldberg, Yoav},
  booktitle={Proceedings of EACL},
  year={2017}
}



% ++ MULTI-TASK LEARNING

@inproceedings{klerke:improving:2016,
	author= {Klerke, Sigrid and Goldberg, Yoav and S{\o}gaard, Anders}, 
    year = {2016}, 
    title = {Improving sentence compression by learning to predict gaze}, 
    booktitle= {Proceedings of NAACL}
    }
  
@article{yang:multitask:2016,
  author    = {Yang, Zhilin and
                Salakhutdinov, Ruslan and
               Cohen, William W. },
  title     = {Multi-Task Cross-Lingual Sequence Tagging from Scratch},
  journal   = {arXiv preprint arXiv:1603.06270},
  year      = {2016}
}

@inproceedings{alonso:multitask:2017,
  title={When is multitask learning effective? Semantic sequence prediction under varying data conditions},
  author={Alonso, Hector Martinez and Plank, Barbara},
  booktitle={Proceedings of EACL},
  year={2017}
}

@inproceedings{coavoux-crabbe-2017-multilingual,
    title = "Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks",
    author = "Coavoux, Maximin  and
      Crabb{\'e}, Beno{\^\i}t",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/E17-2053",
    pages = "331--336",
    abstract = "We introduce a constituency parser based on a bi-LSTM encoder adapted from recent work (Cross and Huang, 2016b; Kiperwasser and Goldberg, 2016), which can incorporate a lower level character biLSTM (Ballesteros et al., 2015; Plank et al., 2016). We model two important interfaces of constituency parsing with auxiliary tasks supervised at the word level: (i) part-of-speech (POS) and morphological tagging, (ii) functional label prediction. On the SPMRL dataset, our parser obtains above state-of-the-art results on constituency parsing without requiring either predicted POS or morphological tags, and outputs labelled dependency trees.",
}

@inproceedings{kerinec2018does,
  title={When does deep multi-task learning work for loosely related document classification tasks?},
  author={Kerinec, Emma and Braud, Chlo{\'e} and S{\o}gaard, Anders},
  booktitle={Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP},
  pages={1--8},
  year={2018}
}

@inproceedings{strzyz2019sequence,
  title={Sequence Labeling Parsing by Learning across Representations},
  author={Strzyz, Michalina and Vilares, David and G{\'o}mez-Rodr{\'\i}guez, Carlos},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={5350--5357},
  year={2019}
}

@PhdThesis{ruder:neural:2019,
  title={Neural Transfer Learning for Natural Language Processing},
  author={Ruder, Sebastian},
  year={2019},
  school={National University of Ireland, Galway}
}

@inproceedings{sun2020learning,
  title={Learning sparse sharing architectures for multiple tasks},
  author={Sun, Tianxiang and Shao, Yunfan and Li, Xiaonan and Liu, Pengfei and Yan, Hang and Qiu, Xipeng and Huang, Xuanjing},
  year={2020}
}


% ++ HIERARCHICAL LEARNING

@inproceedings{koller:hierarchically:1997,
    author = {Koller, Daphne and Sahami, Mehran},
    title = {Hierarchically Classifying Documents Using Very Few Words},
    booktitle = {Proceedings of ICML},
    year = {1997}
}

@inproceedings{ciaramita:hierarchical:2003,
    author = {Ciaramita, Massimiliano and Hofmann, Thomas and Johnson, Mark},
    title = {Hierarchical Semantic Classification: Word Sense Disambiguation with World Knowledge},
    booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence},
    year = {2003}
}

@inproceedings{dekel:large:2004,
    author = {Dekel, Ofer and Keshet, Joseph and Singer, Yoram},
    title = {Large Margin Hierarchical Classification},
    booktitle = {Proceedings of ICML},
    year = {2004}
}

@inproceedings{dekel:online:2004,
    author = {Dekel, Ofer and Keshet, Joseph and Singer, Yoram},
    title = {An Online Algorithm for Hierarchical Phoneme Classification},
    booktitle = {Proceedings of MLMI},
    year = {2004}
}

@inproceedings{dekel:distribution:2009,
  author = {Dekel, Ofer},
  booktitle = {Proceedings of NIPS},
  title = {Distribution-Calibrated Hierarchical Classification},
  year = {2009}
}


% ++ SYNTACTIC PARSING

@InProceedings{coavoux:neural:2016,
  author    = {Coavoux, Maximin  and  Crabb\'{e}, Benoit},
  title     = {Neural Greedy Constituent Parsing with Dynamic Oracles},
  booktitle = {Proceedings of ACL},
  year      = {2016}
}

% ++ NLP

@inproceedings{nigam:using:1999,
    author = {Nigam, Kamal and Lafferty, John and McCallum, Andrew},
    title = {Using Maximum Entropy for Text Classification},
    booktitle = {Proceedings of IJCAI Workshop on Machine Learning for Information Filtering},
    year = {1999}
}

@article{sebastiani:machine:2002,
    author = {Sebastiani, Fabrizio},
    title = {Machine Learning in Automated Text Categorization},
    journal = {ACM Computing Surveys},
    year = {2002},
    pages = {1--47},
    volume = {34}
} 

@article{navigli:word:2009,
    author = {Navigli, Roberto},
    title = {Word Sense Disambiguation: A Survey},
    journal = {ACM Computing Surveys},
    year = {2009},
    volume = {41}
} 

@article{chandrakala:opinion:2012,
    author = {Chandrakala, S. and Sindhu, C.},
    title = {Opinion Mining and sentiment classification: a survey},
    journal = {ICTACT journal on soft computing},
    year = {2012},
    pages = {420--427},
    volume = {03}
}






% ++ OUTILS PRE-TRAITEMENTS

@article{marcus:building:1993,
    author = { Marcus, Mitchell P. and Santorini, Beatrice and Marcinkiewicz, Mary Ann},
    year = {1993}, 
    title = {Building a large annotated corpus of english: The Penn Treebank},
    journal = {Computational Linguistics},
    volume = {19(2)},
    pages = {313-–330}
}

@Book{fellbaum:wordnet:1998,
    title = {WordNet: An Electronic Lexical Database},
    author = {Fellbaum, Christiane},
    year = {1998},
    publisher = {Bradford Books},
  }
@inproceedings{baker:berkeley:1998,
 author = {Baker, Collin F. and Fillmore, Charles J. and Lowe, John B.},
 title = {The Berkeley FrameNet Project},
 booktitle = {Proceedings of ACL},
 year = {1998}
} 

@article{palmer:adaptive:1997,
    author = {Palmer, David D. and Hearst, Marti A.},
    title = {Adaptive Multilingual Sentence Boundary Disambiguation},
    journal = {Computational Linguistics},
    volume = {23},
    number = {2},
    year = {1997},
    pages = {241--267}
} 


@inproceedings{kipper:class:2000,
    author = {Kipper, Karin and Dang, Hoa Trang and Palmer, Martha},
    year = {2000},
    title = {Class-based construction of a verb lexicon},
    booktitle = {Proceedings of AAAI}
}

@booklet{johnson:framenet:2002,
	title = {{F}rame{N}et: {T}heory and {P}ractice},
	year = {2002},
	author = {Johnson, Christopher R. and Fillmore, Charles J. and Petruck, Miriam R.L. 
        and Baker, Collin F. and Ellsworth, Michael J. and Ruppenhofer, Josef 
            and Wood, Esther J.}
}

@inproceedings{pustejovsky:timebank:2003,
    author = {Pustejovsky, James and Hanks, Patrick and Saur\'{i}, Roser 
        and See, Andrew and Gaizauskas, Rob and Setzer, Andrea 
            and Radev, Dragomir R. and Sundheim, Beth and Day, David S. 
            and Ferro, Lisa and Lazo, Marcia},
    booktitle = {Proceedings of Corpus Linguistics},
    title = {The {TIMEBANK} Corpus},
    year = {2003}
}


@inproceedings{mcdonald:online:2006,
    title = {Online learning of approximate dependency parsing algorithms},
    author = {McDonald, Ryan and Pereira, Fernando},
    booktitle = {Proceedings of EACL},
    year = {2006}
}

@inproceedings{sauri:annotating:2006,
    title = {Annotating and recognizing event modality in text},
    author = {Saur\'{i}, Roser and Verhagen, Marc and Pustejovsky, James},
    booktitle = {Proceedings of FLAIRS Conference},
    year = {2006}
}

@inproceedings{denis:coupling:2009,
    author = {Denis, Pascal and Sagot, Benoît},
    title = {Coupling an annotated corpus and a morphosyntactic lexicon for 
        state-of-the-art {POS} tagging with less human effort},
    booktitle = {Proceedings of PACLIC},
    year = {2009}
}

@inproceedings{gillick:sentence:2009,
    author = {Gillick, Dan},
    title = {Sentence Boundary Detection and the Problem with the U.S.},
    booktitle = {Proceedings of NAACL},
    year = {2009}
} 

@inproceedings{candito:benchmarking:2010,
    author = {Candito, Marie and Nivre, Joakim and Denis, Pascal and Anguiano, Enrique H.},
    title = {Benchmarking of statistical dependency parsers for French},
    booktitle = {Proceedings of ICCL},
    year = {2010}
}



@inproceedings{sagae:classifier:2005,
 author = {Sagae, Kenji and Lavie, Alon},
 title = {A Classifier-based Parser with Linear Run-time Complexity},
 booktitle = {Proceedings of the International Workshop on Parsing Technology},
 year = {2005}
} 

@article{yu:dual:2011,
 author = {Yu, Hsiang-Fu and Huang, Fang-Lan and Lin, Chih-Jen},
 title = {Dual Coordinate Descent Methods for Logistic Regression and Maximum Entropy Models},
 journal = {Machine Learning},
 year = {2011}
} 










% ++ TO READ

% From EMNLP short sent 19/06/14 by pascal
@unpublished{daume:carefully:2004,
   author = {Daum\'e {III}, Hal},
   title  = {Carefully Appoximated Bayes Factors for Feature Selection in MaxEnt Models},
   year = {2004}
}

@inproceedings{prasad:discourse,
    author = {Prasad, Rashmi and Joshi, Aravind},
    title = {A Discourse-based Approach to Generating Why-Questions from Texts},
    year = {2008},
    booktitle = {Proceedings of the Workshop on the Question
Generation Shared Task and Evaluation Challenge}
}

@inproceedings{verberne:evaluating:2007,
    author = {Verberne, Suzan and Boves, Lou and Oostdijk, Nelleke and Coppen, Peter-Arno},
    title = {Evaluating Discourse-based Answer Extraction for Why-question Answering},
    booktitle = {Proceedings of the Annual International ACM SIGIR Conference on 
        Research and Development in Information Retrieval},
    year = {2007}
} 

@inproceedings{zahri:exploiting:2012,
    author = {Zahri, Nik Adilah Hanin Binti  and  Fukumoto, Fumiyo  and  Matsuyoshi, Suguru},
    title = {Exploiting Discourse Relations between Sentences for Text Clustering},
    booktitle = {Proceedings of the Workshop on Advances in Discourse Analysis and 
        its Computational Aspects},
    year = {2012}
}

@techreport{pettibone:maximum:2003,
    author={Pettibone, Jeanette and Pon-Barry, Heather},
    title={A maximum entropy approach to recognizing discourse relations in 
        spoken language},
    year={2003},
    institution={The Stanford Natural Language Processing Group}
}


@InProceedings{sagae-2005,
  Title                    = {A classifier-based parser with linear run-time complexity},
  Author                   = {Sagae, Kenji and Lavie, Alon},
  Booktitle                = {Proceedings of the Ninth International Workshop on Parsing Technology},
  Year                     = {2005},
  Organization             = {Association for Computational Linguistics},
  Pages                    = {125--132},

  Added-at                 = {2010-11-08T15:06:07.000+0100},
  Interhash                = {1ceb4d1255b8e9732ae209aade1f7587},
  Intrahash                = {450e2be1ffa823eb2238e6aaa069ea12},
  Keywords                 = {parsing},
  Timestamp                = {2010-11-08T15:06:07.000+0100}
}

@InProceedings{chen-2014,
  Title                    = {A Fast and Accurate Dependency Parser using Neural Networks},
  Author                   = {Chen, Danqi and Manning, Christopher D},
  Booktitle                = {Empirical Methods in Natural Language Processing (EMNLP)},
  Year                     = {2014},
  Timestamp                = {2015.01.14}
}

@Article{polyak-1992,
  Title                    = {Acceleration of Stochastic Approximation by Averaging},
  Author                   = {Polyak, Boris T. and Juditsky, Anatoli B.},
  Journal                  = {SIAM J. Control Optim.},
  Year                     = {1992},

  Month                    = jul,
  Number                   = {4},
  Pages                    = {838--855},
  Volume                   = {30},

  Acmid                    = {131098},
  Address                  = {Philadelphia, PA, USA},
  ISSN                     = {0363-0129},
  Issue_date               = {July 1992},
  Keywords                 = {optimal algorithms, recursive estimation, stochastic approximation, stochastic optimization},
  Numpages                 = {18},
  Publisher                = {Society for Industrial and Applied Mathematics}
}




% ++ VARIA

@inproceedings{fan2019using,
  title={Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs},
  author={Fan, Angela and Gardent, Claire and Braud, Chlo{\'e} and Bordes, Antoine},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={4177--4187},
  year={2019}
}






@inproceedings{liu2021dmrst,
    title = "{DMRST}: A Joint Framework for Document-Level Multilingual {RST} Discourse Segmentation and Parsing",
    author = "Liu, Zhengyuan  and
      Shi, Ke  and
      Chen, Nancy",
    booktitle = "Proceedings of the 2nd Workshop on Computational Approaches to Discourse",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic and Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.codi-main.15",
    doi = "10.18653/v1/2021.codi-main.15",
    pages = "154--164",
    abstract = "Text discourse parsing weighs importantly in understanding information flow and argumentative structure in natural language, making it beneficial for downstream tasks. While previous work significantly improves the performance of RST discourse parsing, they are not readily applicable to practical use cases: (1) EDU segmentation is not integrated into most existing tree parsing frameworks, thus it is not straightforward to apply such models on newly-coming data. (2) Most parsers cannot be used in multilingual scenarios, because they are developed only in English. (3) Parsers trained from single-domain treebanks do not generalize well on out-of-domain inputs. In this work, we propose a document-level multilingual RST discourse parsing framework, which conducts EDU segmentation and discourse tree parsing jointly. Moreover, we propose a cross-translation augmentation strategy to enable the framework to support multilingual parsing and improve its domain generality. Experimental results show that our model achieves state-of-the-art performance on document-level multilingual RST parsing in all sub-tasks.",
}

@inproceedings{scholman2021comparison,
    title = "Comparison of methods for explicit discourse connective identification across various domains",
    author = "Scholman, Merel  and
      Dong, Tianai  and
      Yung, Frances  and
      Demberg, Vera",
    booktitle = "Proceedings of the 2nd Workshop on Computational Approaches to Discourse",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic and Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.codi-main.9",
    doi = "10.18653/v1/2021.codi-main.9",
    pages = "95--106",
    abstract = "Existing parse methods use varying approaches to identify explicit discourse connectives, but their performance has not been consistently evaluated in comparison to each other, nor have they been evaluated consistently on text other than newspaper articles. We here assess the performance on explicit connective identification of three parse methods (PDTB e2e, Lin et al., 2014; the winner of CONLL2015, Wang et al., 2015; and DisSent, Nie et al., 2019), along with a simple heuristic. We also examine how well these systems generalize to different datasets, namely written newspaper text (PDTB), written scientific text (BioDRB), prepared spoken text (TED-MDB) and spontaneous spoken text (Disco-SPICE). The results show that the e2e parser outperforms the other parse methods in all datasets. However, performance drops significantly from the PDTB to all other datasets. We provide a more fine-grained analysis of domain differences and connectives that prove difficult to parse, in order to highlight the areas where gains can be made.",
}



@inproceedings{CRPC-DB-Portuguese,
author = {Mendes, Am\'{a}lia and Lejeune, Pierre},
title = {CRPC-DB a Discourse Bank for Portuguese},
year = {2022},
isbn = {978-3-030-98304-8},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
url = {https://doi.org/10.1007/978-3-030-98305-5_8},
doi = {10.1007/978-3-030-98305-5_8},
abstract = {We present a new resource for discourse studies in Portuguese, the CRPC Discourse Bank (CRPC-DB). CRPC-DB follows the Penn Discourse Treebank style of annotation. The annotation is performed on the PAROLE corpus, a free subset of the Reference Corpus of Contemporary Portuguese (CRPC) that includes news, fiction and didactic/scientific texts. The discourse bank covers explicit and implicit relations at intra and inter-sentential levels, and includes for now a total of 14,436 discourse relations. We present the main guidelines of our annotation and discuss specific cases. An experiment in inter-annotator agreement was performed and holds results of 0.88 F1-score for discourse relation identification, 0.71 Cohen’s K for the classification of discourse relation types, and 0,75 for top-level sense classification. The CRPC-DB will be distributed free of charge through the PORTULAN CLARIN infrastructure.},
booktitle = {Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings},
pages = {79–89},
numpages = {11},
keywords = {Discourse bank, Text coherence, PDTB-style of annotation, Discourse relations},
location = {Fortaleza, Brazil}
}


@INPROCEEDINGS{RiccardiStepanovChowdhury2016,
author={Riccardi, Giuseppe and Stepanov, Evgeny A. and Chowdhury, Shammur Absar},
booktitle={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={Discourse connective detection in spoken conversations},
year={2016}, 
pages={6095-6099},
doi={10.1109/ICASSP.2016.7472848}}


@inproceedings{zeyrek2018multilingual,
    title = "Multilingual Extension of {PDTB}-Style Annotation: The Case of {TED} Multilingual Discourse Bank",
    author = "Zeyrek, Deniz  and
      Mendes, Am{\'a}lia  and
      Kurfal{\i}, Murathan",
    booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
    month = may,
    year = "2018",
    address = "Miyazaki, Japan",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L18-1301",
}




carlson-etal-2001-building,asher-etal-2016-discourse

@Misc{PrasadWebberLeeEtAl2019,
  author       = {Rashmi Prasad and Bonnie Webber and Alan Lee and Aravind Joshi},
  year         = {2019},
  title        = {{Penn Discourse Treebank Version 3.0. LDC2019T05}},
  organization = {Linguistic Data Consortium},
  address      = {Philadelphia}
}

@Article{Zeldes2017,
  author    = {Amir Zeldes},
  title     = {The {GUM} Corpus: Creating Multilayer Resources in the Classroom},
  journal   = {Language Resources and Evaluation},
  year      = {2017},
  volume    = {51},
  number    = {3},
  pages     = {581--612},
  doi       = {http://dx.doi.org/10.1007/s10579-016-9343-x}
}

@InCollection{CarlsonEtAl2003,
  title                    = {Building a Discourse-Tagged Corpus in the Framework of {Rhetorical Structure Theory}},
  author                   = {Lynn Carlson and Daniel Marcu and Mary Ellen Okurowski},
  booktitle                = {Current and New Directions in Discourse and Dialogue},
  publisher                = {Kluwer},
  year                     = {2003},

  address                  = {Dordrecht},
  pages                    = {85--112},
  series                   = {Text, Speech and Language Technology 22}
}

@InProceedings{AsherHunterMoreyEtAl2016,
  author    = {Nicholas Asher and Julie Hunter and Mathieu Morey and Farah Benamara and Stergos D. Afantenos},
  title     = {Discourse Structure and Dialogue Acts in Multiparty Dialogue: the {STAC} Corpus},
  booktitle = {Proceedings of LREC 2016},
  year      = {2016},
  pages     = {2721--2727},
  address   = {Portoro\v{z}, Slovenia},
}

@InProceedings{IruskietaAranzabeIlarrazaEtAl2013,
  author    = {Mikel Iruskieta and Mar\'{i}a Jes\'{u}s Aranzabe and Arantza Diaz de Ilarraza and Itziar Gonzalez-Dios and Mikel Lersundi and Oier Lopez de Lacalle},
  title     = {The {RST} {B}asque {TreeBank}: An Online Search Interface to Check Rhetorical Relations},
  booktitle = {4th Workshop on RST and Discourse Studies},
  year      = {2013},
  pages     = {40-49},
  address   = {Fortaleza, Brasil},
  timestamp = {2019-03-14},
}

@article{shahmohammadi2021persian,
      title={Persian {Rhetorical Structure Theory}}, 
      author={Sara Shahmohammadi and Hadi Veisi and Ali Darzi},
      year={2021},
      journal={arXiv preprint arXiv:2106.13833},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
@InProceedings{AfantenosAsherBenamaraEtAl2012,
  author    = {Stergos Afantenos and Nicholas Asher and Farah Benamara and Myriam Bras and Cécile Fabre and Mai Ho-dac and Anne Le Draoulec and Philippe Muller and Marie-Paule Péry-Woodley and Laurent Prévot and Josette Rebeyrolle and Ludovic Tanguy and Marianne Vergez-Couret and Laure Vieu},
  title     = {An Empirical Resource for Discovering Cognitive Principles of Discourse Organisation: The {ANNODIS} Corpus},
  booktitle = {Proceedings of LREC 2012},
  year      = {2012},
  pages     = {2727--2734},
  address   = {Istanbul, Turkey}
}

@InProceedings{RedekerEtAl2012,
  author    = {Gisela Redeker and Ildik\'{o} Berzl\'{a}novich and Nynke van der Vliet and Gosse Bouma and Markus Egg},
  title     = {Multi-Layer Discourse Annotation of a {D}utch Text Corpus},
  booktitle = {Proceedings of LREC 2012},
  year      = {2012},
  editor    = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Mehmet U\v{g}ur Do\v{g}an and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  pages     = {2820--2825},
  address   = {Istanbul, Turkey}
}

@InProceedings{CardosoMazieroRosarioCastroJorgeEtAl2011,
  author    = {Paula Christina Figueira Cardoso and Erick Galani Maziero and Maria Luc\'{i}a del Rosario Castro Jorge and M. Eloize and R. Kibar Aji Seno and Ariani Di Felippo and Lucia Helena Machado Rino and Maria das Gra\c{c}as Volpe Nunes and Thiago Alexandre Salgueiro Pardo},
  title     = {{CSTNews} - A Discourse-Annotated Corpus for Single and Multi-Document Summarization of News Texts in {B}razilian {P}ortuguese},
  booktitle = {Proceedings of the 3rd RST Brazilian Meeting},
  year      = {2011},
  pages     = {88--105},
  address   = {Cuiab\'{a}, Brazil}
}


@InProceedings{ToldovaPisarevskayaAnanyevaEtAl2017,
    title = "Rhetorical relations markers in {R}ussian {RST} Treebank",
    author = "Toldova, Svetlana  and
      Pisarevskaya, Dina  and
      Ananyeva, Margarita  and
      Kobozeva, Maria  and
      Nasedkin, Alexander  and
      Nikiforova, Sofia  and
      Pavlova, Irina  and
      Shelepov, Alexey",
    booktitle = "Proceedings of the 6th Workshop on Recent Advances in {RST} and Related Formalisms",
    month = sep,
    year = "2017",
    address = "Santiago de Compostela, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-3604",
    doi = "10.18653/v1/W17-3604",
    pages = "29--33",
    ISBN = "978-1-945626-78-4",
}

@InProceedings{CunhaTorres-MorenoSierra2011,
  author    = {Iria da Cunha and Juan-Manuel Torres-Moreno and Gerardo Sierra},
  title     = {On the development of the {RST Spanish Treebank}},
  booktitle = {Proceedings of the Fifth Linguistic Annotation Workshop (LAW V)},
  year      = {2011},
  pages     = {1--10},
  address   = {Portland, OR}
}
@InProceedings{ShuyuanCunhaIruskieta2018,
    title = "The {RST} {S}panish-{C}hinese Treebank",
    author = "Cao, Shuyuan  and
      da Cunha, Iria  and
      Iruskieta, Mikel",
    booktitle = "Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions ({LAW}-{MWE}-{C}x{G}-2018)",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-4917",
    pages = "156--166",
    abstract = "Discourse analysis is necessary for different tasks of Natural Language Processing (NLP). As two of the most spoken languages in the world, discourse analysis between Spanish and Chinese is important for NLP research. This paper aims to present the first open Spanish-Chinese parallel corpus annotated with discourse information, whose theoretical framework is based on the Rhetorical Structure Theory (RST). We have evaluated and harmonized each annotation part to obtain a high annotated-quality corpus. The corpus is already available to the public.",
}


@article{Zhou2014,
  title={Chinese discourse treebank 0.5 ldc2014t21},
  author={Zhou, Yuping and Lu, Jill and Zhang, Jennifer and Xue, Nianwen},
  journal={Web Download. Philadelphia: Linguistic Data Consortium},
  year={2014}
}

@article{rogers-etal-2020-primer,
    title = "A Primer in {BERT}ology: What We Know About How {BERT} Works",
    author = "Rogers, Anna  and
      Kovaleva, Olga  and
      Rumshisky, Anna",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "8",
    year = "2020",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/2020.tacl-1.54",
    doi = "10.1162/tacl_a_00349",
    pages = "842--866",
    abstract = "Transformer-based models have pushed state of the art in many areas of NLP, but our understanding of what is behind their success is still limited. This paper is the first survey of over 150 studies of the popular BERT model. We review the current state of knowledge about how BERT works, what kind of information it learns and how it is represented, common modifications to its training objectives and architecture, the overparameterization issue, and approaches to compression. We then outline directions for future research.",
}

@inproceedings{bender-koller-2020-climbing,
    title = "Climbing towards {NLU}: {On} Meaning, Form, and Understanding in the Age of Data",
    author = "Bender, Emily M.  and
      Koller, Alexander",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.463",
    doi = "10.18653/v1/2020.acl-main.463",
    pages = "5185--5198",
    abstract = "The success of the large neural language models on many NLP tasks is exciting. However, we find that these successes sometimes lead to hype in which these models are being described as {``}understanding{''} language or capturing {``}meaning{''}. In this position paper, we argue that a system trained only on form has a priori no way to learn meaning. In keeping with the ACL 2020 theme of {``}Taking Stock of Where We{'}ve Been and Where We{'}re Going{''}, we argue that a clear understanding of the distinction between form and meaning will help guide the field towards better science around natural language understanding.",
}

@inproceedings{kovaleva-etal-2019-revealing,
    title = "Revealing the Dark Secrets of {BERT}",
    author = "Kovaleva, Olga  and
      Romanov, Alexey  and
      Rogers, Anna  and
      Rumshisky, Anna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1445",
    doi = "10.18653/v1/D19-1445",
    pages = "4365--4374",
    abstract = "BERT-based architectures currently give state-of-the-art performance on many NLP tasks, but little is known about the exact mechanisms that contribute to its success. In the current work, we focus on the interpretation of self-attention, which is one of the fundamental underlying components of BERT. Using a subset of GLUE tasks and a set of handcrafted features-of-interest, we propose the methodology and carry out a qualitative and quantitative analysis of the information encoded by the individual BERT{'}s heads. Our findings suggest that there is a limited set of attention patterns that are repeated across different heads, indicating the overall model overparametrization. While different heads consistently use the same attention patterns, they have varying impact on performance across different tasks. We show that manually disabling attention in certain heads leads to a performance improvement over the regular fine-tuned BERT models.",
}

@article{scikit-learn,
 title={Scikit-learn: Machine Learning in {P}ython},
 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
         and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
         and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
         Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
 journal={Journal of Machine Learning Research},
 volume={12},
 pages={2825--2830},
 year={2011}
}


@inproceedings{hirao-etal-2013-single,
    title = "Single-Document Summarization as a Tree Knapsack Problem",
    author = "Hirao, Tsutomu  and
      Yoshida, Yasuhisa  and
      Nishino, Masaaki  and
      Yasuda, Norihito  and
      Nagata, Masaaki",
    booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2013",
    address = "Seattle, Washington, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D13-1158",
    pages = "1515--1520",
}

@inproceedings{muller-etal-2012-constrained,
    title = "Constrained Decoding for Text-Level Discourse Parsing",
    author = "Muller, Philippe  and
      Afantenos, Stergos  and
      Denis, Pascal  and
      Asher, Nicholas",
    booktitle = "Proceedings of {COLING} 2012",
    month = dec,
    year = "2012",
    address = "Mumbai, India",
    publisher = "The COLING 2012 Organizing Committee",
    url = "https://aclanthology.org/C12-1115",
    pages = "1883--1900",
}
@inproceedings{qi2020stanza,
 author = {Qi, Peng and Zhang, Yuhao and Zhang, Yuhui and Bolton, Jason and Manning, Christopher D.},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations},
 title = {Stanza: A {Python} Natural Language Processing Toolkit for Many Human Languages},
 url = {https://nlp.stanford.edu/pubs/qi2020stanza.pdf},
 year = {2020}
}
@inproceedings{nguyen2021trankit,
    title = "Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing",
    author = "Nguyen, Minh Van  and
      Lai, Viet Dac  and
      Pouran Ben Veyseh, Amir  and
      Nguyen, Thien Huu",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-demos.10",
    doi = "10.18653/v1/2021.eacl-demos.10",
    pages = "80--90",
    abstract = "We introduce Trankit, a light-weight Transformer-based Toolkit for multilingual Natural Language Processing (NLP). It provides a trainable pipeline for fundamental NLP tasks over 100 languages, and 90 pretrained pipelines for 56 languages. Built on a state-of-the-art pretrained language model, Trankit significantly outperforms prior multilingual NLP pipelines over sentence segmentation, part-of-speech tagging, morphological feature tagging, and dependency parsing while maintaining competitive performance for tokenization, multi-word token expansion, and lemmatization over 90 Universal Dependencies treebanks. Despite the use of a large pretrained transformer, our toolkit is still efficient in memory usage and speed. This is achieved by our novel plug-and-play mechanism with Adapters where a multilingual pretrained transformer is shared across pipelines for different languages. Our toolkit along with pretrained models and code are publicly available at: https://github.com/nlp-uoregon/trankit. A demo website for our toolkit is also available at: http://nlp.uoregon.edu/trankit. Finally, we create a demo video for Trankit at: https://youtu.be/q0KGP3zGjGc.",
}


@inproceedings{wicks2021ersatz,
    title = "A unified approach to sentence segmentation of punctuated text in many languages",
    author = "Wicks, Rachel  and
      Post, Matt",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-long.309",
    doi = "10.18653/v1/2021.acl-long.309",
    pages = "3995--4007",
    abstract = "The sentence is a fundamental unit of text processing. Yet sentences in the wild are commonly encountered not in isolation, but unsegmented within larger paragraphs and documents. Therefore, the first step in many NLP pipelines is \textit{sentence segmentation}. Despite its importance, this step is the subject of relatively little research. There are no standard test sets or even methods for evaluation, leaving researchers and engineers without a clear footing for evaluating and selecting models for the task. Existing tools have relatively small language coverage, and efforts to extend them to other languages are often ad hoc. We introduce a modern context-based modeling approach that provides a solution to the problem of segmenting punctuated text in many languages, and show how it can be trained on noisily-annotated data. We also establish a new 23-language multilingual evaluation set. Our approach exceeds high baselines set by existing methods on prior English corpora (WSJ and Brown corpora), and also performs well on average on our new evaluation set. We release our tool, ersatz, as open source.",
}

	
@inproceedings{gupta2021bert,
  title={BERT \& Family Eat Word Salad: Experiments with Text Understanding},
  author={Gupta, Ashim and Kvernadze, Giorgi and Srikumar, Vivek},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={14},
  pages={12946--12954},
  year={2021}
}


@inproceedings{hayashi-etal-2016-empirical,
    title = "Empirical comparison of dependency conversions for {RST} discourse trees",
    author = "Hayashi, Katsuhiko  and
      Hirao, Tsutomu  and
      Nagata, Masaaki",
    booktitle = "Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    month = sep,
    year = "2016",
    address = "Los Angeles",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W16-3616",
    doi = "10.18653/v1/W16-3616",
    pages = "128--136",
}


@inproceedings{Liu2020ijcai,
  title     = {On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification},
  author    = {Liu, Xin and Ou, Jiefu and Song, Yangqiu and Jiang, Xin},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {3830--3836},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/530},
  url       = {https://doi.org/10.24963/ijcai.2020/530},
}
@inproceedings{DBLP:conf/aaai/WuCGLZS22,
  author       = {Changxing Wu and
                  Liuwen Cao and
                  Yubin Ge and
                  Yang Liu and
                  Min Zhang and
                  Jinsong Su},
  title        = {A Label Dependence-Aware Sequence Generation Model for Multi-Level
                  Implicit Discourse Relation Recognition},
  booktitle    = {Thirty-Sixth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2022, Thirty-Fourth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2022, The Twelveth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2022 Virtual Event, February 22
                  - March 1, 2022},
  pages        = {11486--11494},
  publisher    = {{AAAI} Press},
  year         = {2022},
  url          = {https://doi.org/10.1609/aaai.v36i10.21401},
  doi          = {10.1609/aaai.v36i10.21401},
  timestamp    = {Mon, 04 Sep 2023 16:50:28 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/WuCGLZS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{zhao-etal-2023-infusing,
    title = "Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition",
    author = "Zhao, Haodong  and
      He, Ruifang  and
      Xiao, Mengnan  and
      Xu, Jing",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.357",
    doi = "10.18653/v1/2023.acl-long.357",
    pages = "6477--6492",
    abstract = "Multi-level implicit discourse relation recognition (MIDRR) aims at identifying hierarchical discourse relations among arguments. Previous methods achieve the promotion through fine-tuning PLMs. However, due to the data scarcity and the task gap, the pre-trained feature space cannot be accurately tuned to the task-specific space, which even aggravates the collapse of the vanilla space. Besides, the comprehension of hierarchical semantics for MIDRR makes the conversion much harder. In this paper, we propose a prompt-based Parameter-Efficient Multi-level IDRR (PEMI) framework to solve the above problems. First, we leverage parameter-efficient prompt tuning to drive the inputted arguments to match the pre-trained space and realize the approximation with few parameters. Furthermore, we propose a hierarchical label refining (HLR) method for the prompt verbalizer to deeply integrate hierarchical guidance into the prompt tuning. Finally, our model achieves comparable results on PDTB 2.0 and 3.0 using about 0.1{\%} trainable parameters compared with baselines and the visualization demonstrates the effectiveness of our HLR method.",
}


@article{kann2022americasnli,
  title={{AmericasNLI}: Machine translation and natural language inference systems for Indigenous languages of the Americas},
  author={Kann, Katharina and Ebrahimi, Abteen and Mager, Manuel and Oncevay, Arturo and Ortega, John E and Rios, Annette and Fan, Angela and Gutierrez-Vasques, Ximena and Chiruzzo, Luis and Gim{\'e}nez-Lugo, Gustavo A and others},
  journal={Frontiers in Artificial Intelligence},
  volume={5},
  pages={266},
  year={2022},
  publisher={Frontiers}
}


@inproceedings{liu-strube-2023-annotation,
    title = "Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation",
    author = "Liu, Wei  and
      Strube, Michael",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.874",
    doi = "10.18653/v1/2023.acl-long.874",
    pages = "15696--15712",
    abstract = "Implicit discourse relation classification is a challenging task due to the absence of discourse connectives. To overcome this issue, we design an end-to-end neural model to explicitly generate discourse connectives for the task, inspired by the annotation process of PDTB. Specifically, our model jointly learns to generate discourse connectives between arguments and predict discourse relations based on the arguments and the generated connectives. To prevent our relation classifier from being misled by poor connectives generated at the early stage of training while alleviating the discrepancy between training and inference, we adopt Scheduled Sampling to the joint learning. We evaluate our method on three benchmarks, PDTB 2.0, PDTB 3.0, and PCC. Results show that our joint model significantly outperforms various baselines on three datasets, demonstrating its superiority for the task.",
}
@inproceedings{wu-etal-2023-connective,
    title = "Connective Prediction for Implicit Discourse Relation Recognition via Knowledge Distillation",
    author = "Wu, Hongyi  and
      Zhou, Hao  and
      Lan, Man  and
      Wu, Yuanbin  and
      Zhang, Yadong",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.325",
    doi = "10.18653/v1/2023.acl-long.325",
    pages = "5908--5923",
    abstract = "Implicit discourse relation recognition (IDRR) remains a challenging task in discourse analysis due to the absence of connectives. Most existing methods utilize one-hot labels as the sole optimization target, ignoring the internal association among connectives. Besides, these approaches spend lots of effort on template construction, negatively affecting the generalization capability. To address these problems,we propose a novel Connective Prediction via Knowledge Distillation (CP-KD) approach to instruct large-scale pre-trained language models (PLMs) mining the latent correlations between connectives and discourse relations, which is meaningful for IDRR. Experimental results on the PDTB 2.0/3.0 and CoNLL2016 datasets show that our method significantly outperforms the state-of-the-art models on coarse-grained and fine-grained discourse relations. Moreover, our approach can be transferred to explicit discourse relation recognition(EDRR) and achieve acceptable performance.",
}







@inproceedings{yu2022rst,
  title={RST discourse parsing with second-stage EDU-level pre-training},
  author={Yu, Nan and Zhang, Meishan and Fu, Guohong and Zhang, Min},
  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={4269--4280},
  year={2022}
}


@article{jaccard1912distribution,
  title={The distribution of the flora in the alpine zone. 1},
  author={Jaccard, Paul},
  journal={New phytologist},
  volume={11},
  number={2},
  pages={37--50},
  year={1912},
  publisher={Wiley Online Library}
}


@Techreport{spacy,
  author = {Honnibal, Matthew and Montani, Ines and Van Landeghem, Sofie and Boyd, Adriane},
  title = {{spaCy: Industrial-strength Natural Language Processing in Python}},
  year = 2020,
  institution = {Zenodo},
  doi = {10.5281/zenodo.1212303},
  url = {https://doi.org/10.5281/zenodo.1212303}
}
