@article{radford2019language,
  added-at = {2024-11-15T12:44:17.000+0100},
  author = {Radford, Alec and Wu, Jeffrey and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
  biburl = {https://www.bibsonomy.org/bibtex/233e4b003b64b1060334660fbf6db1f3f/albinzehe},
  interhash = {b926ece39c03cdf5499f6540cf63babd},
  intrahash = {33e4b003b64b1060334660fbf6db1f3f},
  journal = {OpenAI},
  keywords = {gpt gpt2 languagemodelling transferlearning transformer},
  note = {Accessed: 2024-11-15},
  timestamp = {2024-11-15T12:44:17.000+0100},
  title = {Language Models are Unsupervised Multitask Learners},
  url = {https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf},
  year = 2019
}


@misc{jiang2023mistral7b,
      title={Mistral 7B}, 
      author={Albert Q. Jiang and Alexandre Sablayrolles and Arthur Mensch and Chris Bamford and Devendra Singh Chaplot and Diego de las Casas and Florian Bressand and Gianna Lengyel and Guillaume Lample and Lucile Saulnier and Lélio Renard Lavaud and Marie-Anne Lachaux and Pierre Stock and Teven Le Scao and Thibaut Lavril and Thomas Wang and Timothée Lacroix and William El Sayed},
      year={2023},
      eprint={2310.06825},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2310.06825}, 
}

@article{levy2008expectation,
title = {Expectation-based syntactic comprehension},
journal = {Cognition},
volume = {106},
number = {3},
pages = {1126-1177},
year = {2008},
issn = {0010-0277},
doi = {https://doi.org/10.1016/j.cognition.2007.05.006},
url = {https://www.sciencedirect.com/science/article/pii/S0010027707001436},
author = {Roger Levy},
keywords = {Parsing, Frequency, Sentence processing, Information theory, Prediction, Syntax, Word order, Syntactic complexity},
abstract = {This paper investigates the role of resource allocation as a source of processing difficulty in human sentence comprehension. The paper proposes a simple information-theoretic characterization of processing difficulty as the work incurred by resource reallocation during parallel, incremental, probabilistic disambiguation in sentence comprehension, and demonstrates its equivalence to the theory of Hale [Hale, J. (2001). A probabilistic Earley parser as a psycholinguistic model. In Proceedings of NAACL (Vol. 2, pp. 159–166)], in which the difficulty of a word is proportional to its surprisal (its negative log-probability) in the context within which it appears. This proposal subsumes and clarifies findings that high-constraint contexts can facilitate lexical processing, and connects these findings to well-known models of parallel constraint-based comprehension. In addition, the theory leads to a number of specific predictions about the role of expectation in syntactic comprehension, including the reversal of locality-based difficulty patterns in syntactically constrained contexts, and conditions under which increased ambiguity facilitates processing. The paper examines a range of established results bearing on these predictions, and shows that they are largely consistent with the surprisal theory.}
}

@inproceedings{radford-2019-LanguageMA,
  title={Language Models are Unsupervised Multitask Learners},
  author={Alec Radford and Jeff Wu and Rewon Child and David Luan and Dario Amodei and Ilya Sutskever},
  year={2019},
  url={https://api.semanticscholar.org/CorpusID:160025533}
}

@article{liu-etal-roberta-2019,
  author       = {Yinhan Liu and
                  Myle Ott and
                  Naman Goyal and
                  Jingfei Du and
                  Mandar Joshi and
                  Danqi Chen and
                  Omer Levy and
                  Mike Lewis and
                  Luke Zettlemoyer and
                  Veselin Stoyanov},
  title        = {RoBERTa: {A} Robustly Optimized {BERT} Pretraining Approach},
  journal      = {CoRR},
  volume       = {abs/1907.11692},
  year         = {2019},
  url          = {http://arxiv.org/abs/1907.11692},
  eprinttype    = {arXiv},
  eprint       = {1907.11692},
  timestamp    = {Tue, 11 Feb 2025 12:43:01 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1907-11692.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{shannon1948mathematical,
  title={A Mathematical Theory of Communication},
  author={Shannon, Claude E.},
  journal={Bell System Technical Journal},
  volume={27},
  number={3},
  pages={379--423},
  year={1948},
  publisher={Bell Labs}
}

@inproceedings{aktas-roth-2025-clarifying,
    title = "Clarifying Underspecified Discourse Relations in Instructional Texts",
    author = "Aktas, Berfin  and
      Roth, Michael",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-acl.633/",
    pages = "12237--12256",
    ISBN = "979-8-89176-256-5",
    abstract = "Discourse relations contribute to the structure of a text and can optionally be realized through explicit connectives such as ``but'' and ``while''. But when are these connectives necessary to avoid possible misunderstandings? We investigate this question by first building a corpus of 4,274 text revisions in each of which a connective was explicitly inserted. For a subset of 250 cases, we collect plausibility annotations on other connectives to check whether they would represent suitable alternative relations. The results of this annotation show that several relations are often perceived as plausible in our data. Furthermore, we analyze the extent to which large language models can identify instances with multiple plausible relations as a possible source of misunderstandings. We find that the models predict plausibility of individual connectives with up to 66{\%} accuracy, but they are not reliable in estimating when multiple relations are plausible."
}

% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

@misc{geminiteam2024gemini15unlockingmultimodal,
      title={Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context}, 
      author={GeminiTeam and Petko Georgiev and Ving Ian Lei and others  },
      year={2024},
      eprint={2403.05530},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2403.05530}, 
}
@misc{openai2024gpt4technicalreport,
      title={GPT-4 Technical Report}, 
      author={OpenAI and Josh Achiam and Steven Adler and others},
      year={2024},
      eprint={2303.08774},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2303.08774}, 
}
@techreport{anthropic2024claude3,
  title        = {The Claude 3 Model Family: Opus, Sonnet, Haiku},
  author       = {Anthropic},
  year         = {2024},
  institution  = {Anthropic},
  type         = {Technical Report},
}

@article{LapshinovaKoltunski2022,
  title = {Exploring Explicitation and Implicitation in Parallel Interpreting and Translation Corpora},
author = {Ekaterina Lapshinova-Koltunski and Christina Pollkl{\"a}sener and Heike Przybyl},
url = {https://ufal.mff.cuni.cz/pbml/119/art-lapshinova-koltunski-pollklaesener-przybyl.pdf},
doi = {https://doi.org/10.14712/00326585.020},
year = {2022},
date = {2022},
journal = {The Prague Bulletin of Mathematical Linguistics},
pages = {5-22},
volume = {119},
abstract = {We present a study of discourse connectives in English-German and German-English translation and interpreting where we focus on the phenomena of explicitation and implicitation.
Apart from distributional analysis of translation patterns in parallel data, we also look into surprisal, i.e. an information-theoretic measure of cognitive effort, which helps us to interpret the observed tendencies.},
pubstate = {published},
type = {article}
}

@article{ZuffereyCartoni2014,
  author    = {Sandrine Zufferey and Bruno Cartoni},
  title     = {A Multifactorial Analysis of Explicitation in Translation},
  journal   = {Target: International Journal of Translation Studies},
  volume    = {26},
  number    = {3},
  pages     = {361--384},
  year      = {2014},
  doi       = {10.1075/target.26.3.03zuf}
}

@article{Crible2019,
  author    = {Ludivine Crible and Ágnes Abuczki and Nijolė Burkšaitienė and Péter Furkó and Anna Nedoluzhko and Sigita Rackevičienė},
  title     = {Functions and translations of discourse markers in TED talks: A parallel corpus study of underspecification in five languages},
  journal   = {Journal of Pragmatics},
  volume    = {142},
  pages     = {139--155},
  year      = {2019},
  doi       = {10.1016/j.pragma.2019.01.018}
}

@incollection{BlumKulka1986,
  author    = {Shoshana Blum-Kulka},
  title     = {Shifts of Cohesion and Coherence in Translation},
  booktitle = {Interlingual and Intercultural Communication: Discourse and Cognition in Translation and Second Language Acquisition Studies},
  editor    = {Juliane House and Shoshana Blum-Kulka},
  pages     = {17--35},
  year      = {1986},
  publisher = {Gunter Narr Verlag},
  address   = {Tübingen}
}

@article{lin-etal-2014-parser,
  title     = {A PDTB-styled end-to-end discourse parser},
  author    = {Lin, Ziheng and Ng, Hwee Tou and Kan, Min-Yen},
  journal   = {Natural Language Engineering},
  volume    = {20},
  number    = {2},
  pages     = {151--184},
  year      = {2014},
  doi       = {10.1017/S1351324912000307}
}
@phdthesis{Bourgonje2021,
  author      = {Peter Bourgonje},
  title       = {Shallow discourse parsing for German},
  type        = {doctoralthesis},
  pages       = {vii, 140},
  school      = {Universit{\"a}t Potsdam},
  doi       = {10.25932/publishup-50663},
  year        = {2021},
}

@inproceedings{hoek-etal-2021-agreement,
  title={Is there less agreement when the discourse is underspecified?},
  author={Jet Hoek and Merel C.J. Scholman and Ted J.M. Sanders},
  booktitle = {Proceedings of the DiscAnn Workshop},
  year={2021}
}

@techreport{PDTB-3-manual,
   author = {Webber, Bonnie and Prasad, Rashmi and Lee, Alan and Joshi, Aravind},
   title = {The {P}enn {D}iscourse {T}reebank 3.0 {A}nnotation {M}anual},
   institution = {The {U}niversity of {P}ennsylvania},
   year = {2018},
   type = {Report},
}

@inproceedings{hovy2013learning,
  title={Learning whom to trust with MACE},
  author={Hovy, Dirk and Berg-Kirkpatrick, Taylor and Vaswani, Ashish and Hovy, Eduard},
  booktitle={Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  pages={1120--1130},
  year={2013}
}

@Book{AsherLascarides:03,
  author =	 {Nicholas Asher and Alex Lascarides},
  title = 	 {Logics of Conversation},
  publisher = 	 {Cambridge University Press},
  address =      {Cambridge},
  year = 	 {2003},
  standort =     {handapp}
}

@article{MannThompson:88,
  author = 	 {William Mann and Sandra Thompson},
doi = {doi:10.1515/text.1.1988.8.3.243},
url = {https://doi.org/10.1515/text.1.1988.8.3.243},
title = {{Rhetorical Structure Theory: Toward a functional theory of text organization}},
journal = {Text - Interdisciplinary Journal for the Study of Discourse},
number = {3},
volume = {8},
year = {1988},
pages = {243--281},
lastchecked = {2022-05-23}
}

@inproceedings{prasad-et-al-2018,
    author =  {Rashmi Prasad and Bonnie Webber and Alan Lee},
    title =  {Discourse annotation in the {PDTB}: {T}he next generation},
 	booktitle     = {Proceedings 14th Joint ACL - ISO Workshop on Interoperable Semantic Annotation},
  	year          = {2018},
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    pages =  {87--97}
}

@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 {L1}-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},
}

@book{Gusfield:97,
    author  = {Dan Gusfield},
    title   = {Algorithms on Strings, Trees and Sequences},
    year    = "1997",
    publisher = {Cambridge University Press},
    address = {Cambridge, UK}
}

@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}
}
