@article{Cranenburgh_vanNoord_2022,
  title     = {OpenBoek: A Corpus of Literary Coreference and Entities with an Exploration of Historical Spelling Normalization},
  author    = {{van Cranenburgh}, Andreas and {van Noord}, Gertjan},
  year      = {2022},
  month     = dec,
  day       = {22},
  language  = {English},
  volume    = {12},
  pages     = {235--251},
  journal   = {Computational Linguistics in the Netherlands Journal},
  issn      = {2211-4009},
  publisher = {Brill},
  url       = {https://clinjournal.org/clinj/article/view/157}
}

@article{jcls3924,
	author = {Frédérique Mélanie-Becquet AND Jean Barré AND Olga Seminck AND Clément Plancq AND Marco Naguib AND Martial Pastor AND Thierry Poibeau},
	title = {BookNLP-fr, the French Versant of BookNLP. A Tailored Pipeline for 19th and 20th Century French Literature},
	volume = {3},
	year = {2024},
	url = {https://jcls.io/article/id/3924/},
	issue = {1},
	doi = {10.48694/jcls.3924},
	abstract = {&amp;lt;p&amp;gt;This paper presents BookNLP-fr: the adaptation to French of BookNLP, an existing NLP pipeline tailored for literary texts in English. We provide an overview of the challenges involved in the adaptation of such a pipeline to a new language: from the challenges related to data annotation up to the development of specialized modules of entity recognition and coreference. Moving beyond the technical aspects, we explore practical applications of BookNLP-fr with a canonical task for computational literary studies: subgenre classification. We show that BookNLP-fr provides more relevant and – even more importantly – more interpretable features to perform automatic subgenre classification than the traditional bag-of-words approach. BookNLP-fr makes NLP techniques available to a larger public and constitutes a new toolkit to process large numbers of digitized books in French. This allows the field to gain a deeper literary understanding through the practice of distant reading.&amp;lt;/p&amp;gt;},
	month = {11},
	pages = {1-34},
	keywords = {Natural Language Processing,Computational Literary Studies,French Literature,Coreference Resolution,Entity Recognition,Subgenre Classification},
	issn = {2940-1348},
	publisher ={Universitäts- und Landesbibliothek Darmstadt},
	journal = {Journal of Computational Literary Studies}
}

@inproceedings{delfino2024building,
  title={Building CorefLat. A Linguistic Resource for Coreference and Anaphora Resolution in Latin},
  author={Delfino, Eleonora and Leotta, Roberta and Passarotti, Marco and Moretti, Giovanni},
  booktitle={Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)},
  pages={273--279},
  year={2024}
}


@article{ding2021openprompt,
  title={OpenPrompt: An Open-source Framework for Prompt-learning},
  author={Ding, Ning and Hu, Shengding and Zhao, Weilin and Chen, Yulin and Liu, Zhiyuan and Zheng, Hai-Tao and Sun, Maosong},
  journal={arXiv preprint arXiv:2111.01998},
  year={2021}
}

@inproceedings{mishra-etal-2024-multilingual,
    title = "Multilingual Coreference Resolution in Low-resource {S}outh {A}sian Languages",
    author = "Mishra, Ritwik  and
      Desur, Pooja  and
      Shah, Rajiv Ratn  and
      Kumaraguru, Ponnurangam",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1031",
    pages = "11813--11826",
    abstract = "Coreference resolution involves the task of identifying text spans within a discourse that pertain to the same real-world entity. While this task has been extensively explored in the English language, there has been a notable scarcity of publicly accessible resources and models for coreference resolution in South Asian languages. We introduce a Translated dataset for Multilingual Coreference Resolution (TransMuCoRes) in 31 South Asian languages using off-the-shelf tools for translation and word-alignment. Nearly all of the predicted translations successfully pass a sanity check, and 75{\%} of English references align with their predicted translations. Using multilingual encoders, two off-the-shelf coreference resolution models were trained on a concatenation of TransMuCoRes and a Hindi coreference resolution dataset with manual annotations. The best performing model achieved a score of 64 and 68 for LEA F1 and CoNLL F1, respectively, on our test-split of Hindi golden set. This study is the first to evaluate an end-to-end coreference resolution model on a Hindi golden set. Furthermore, this work underscores the limitations of current coreference evaluation metrics when applied to datasets with split antecedents, advocating for the development of more suitable evaluation metrics.",
}

%ACE koreferencni kategorie
@book{walker2005ace,
  title={ACE 2005 Multilingual Training Corpus},
  author={Walker, C. and Linguistic Data Consortium},
  isbn={9781585633760},
  series={LDC corpora},
  url={https://books.google.cz/books?id=SbjjuQEACAAJ},
  year={2005},
  publisher={Linguistic Data Consortium}
}


%English LitBank, referencni clanek
@inproceedings{Bamman20Litbank,
    title = {{An Annotated Dataset of Coreference in {E}nglish Literature}},
    author = "Bamman, David  and
      Lewke, Olivia  and
      Mansoor, Anya",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.6/",
    pages = "44--54",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction published between 1719 and 1922. This dataset differs from previous coreference corpora in containing documents whose average length (2,105.3 words) is four times longer than other benchmark datasets (463.7 for OntoNotes), and contains examples of difficult coreference problems common in literature. This dataset allows for an evaluation of cross-domain performance for the task of coreference resolution, and analysis into the characteristics of long-distance within-document coreference."
}


% RiddleCoref, reference paper
@article{vanCranenburgh2019dutchcoref,
  title     = {A Dutch coreference resolution system with an evaluation on literary fiction},
  author    = {van Cranenburgh, Andreas},
  journal   = {Computational Linguistics in the Netherlands Journal},
  year      = {2019},
  url       = {https://clinjournal.org/clinj/article/view/91}
}

% KoCoNovel, reference paper
@misc{kim-etal-2024-koconovel,
  title        = {KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels},
  author       = {Kim, Kyungeun and Lee, Seungjun and Jo, Yohan and Kim, Sungchul and Lee, Chanhee and Park, Junyeong and Yoon, Heegeun and Shin, Seokmin and Yun, Ilhong and Jung, Kyomin},
  year         = {2024},
  eprint       = {2404.01140},
  archivePrefix= {arXiv},
  primaryClass = {cs.CL},
  url          = {https://arxiv.org/abs/2404.01140}
}


% Ancient_Hebrew-PTNK, reference paper
@inproceedings{Swanson2022AUD,
  title={A Universal Dependencies Treebank of Ancient Hebrew},
  author={Daniel G. Swanson and Francis M. Tyers},
  booktitle={International Conference on Language Resources and Evaluation},
  year={2022},
  url={https://api.semanticscholar.org/CorpusID:251465316}
}

%Ancient_Greek and OldChurchSlavonic-PROIEL referencni clanek
@inproceedings{Haug2008CreatingAP,
  title={{Creating a Parallel Treebank of the Old Indo-European Bible Translations}},
  author={Dag Trygve Truslew Haug and Marius L. J{\o}hndal},
  year={2008},
booktitle={Proceedings of the second workshop on language technology for cultural heritage data (LaTeCH 2008)},
  url={https://api.semanticscholar.org/CorpusID:204978005}
}

% coreferencni AnCora-CO: Coreferentially annotated corpora for Spanish and Catalan
@article{ancora-co,
author = {Recasens, Marta and Mart\'{\i}, M. Ant\`{o}nia},
title = {{AnCora-CO: Coreferentially Annotated Corpora for Spanish and Catalan}},
year = {2010},
issue_date = {December  2010},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
volume = {44},
number = {4},
issn = {1574-020X},
url = {https://doi.org/10.1007/s10579-009-9108-x},
doi = {10.1007/s10579-009-9108-x},
journal = {Language Resources and Evaluation},
month = dec,
pages = {315–345},
numpages = {31},
keywords = {Annotation scheme, Corpus annotation, Reliability study, Anaphora, Coreference}
}

%Litevstina
@inproceedings{LithuanianScheme,
  author    = {Voldemaras {\v Z}itkus and
               Rita Butkien\.{e}},
  title     = {{Coreference Annotation Scheme and Corpus for {Lithuanian} Language}},
  booktitle = {Fifth International Conference on Social Networks Analysis, Management
               and Security, {SNAMS} 2018, Valencia, Spain, October 15-18, 2018},
  pages     = {243--250},
  publisher = {{IEEE}},
  year      = {2018},
  url       = {https://doi.org/10.1109/SNAMS.2018.8554892},
  doi       = {10.1109/SNAMS.2018.8554892},
  timestamp = {Wed, 16 Oct 2019 14:14:53 +0200},
  biburl    = {https://dblp.org/rec/conf/snams/ZitkusB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%ParCorFull
@InProceedings{ParCorFullScheme,
  author = {Ekaterina Lapshinova-Koltunski and Christian Hardmeier and Pauline Krielke},
  title = {{ParCorFull: a Parallel Corpus Annotated with Full Coreference}},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  url = "https://aclanthology.org/L18-1065/",
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association},
  isbn = {979-10-95546-00-9},
  language = {english}
  }


%COREA documentation paper
@inproceedings{COREA2008paper,
    title = "A Coreference Corpus and Resolution System for {D}utch",
    author = "Hendrickx, Iris  and
      Bouma, Gosse  and
      Coppens, Frederik  and
      Daelemans, Walter  and
      Hoste, Veronique  and
      Kloosterman, Geert  and
      Mineur, Anne-Marie  and
      Van Der Vloet, Joeri  and
      Verschelde, Jean-Luc",
    booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
    month = may,
    year = "2008",
    address = "Marrakech, Morocco",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/49_paper.pdf",
    abstract = "We present the main outcomes of the COREA project: a corpus annotated with coreferential relations and a coreference resolution system for Dutch. In the project we developed annotation guidelines for coreference resolution for Dutch and annotated a corpus of 135K tokens. We discuss these guidelines, the annotation tool, and the inter-annotator agreement. We also show a visualization of the annotated relations. The standard approach to evaluate a coreference resolution system is to compare the predictions of the system to a hand-annotated gold standard test set (cross-validation). A more practically oriented evaluation is to test the usefulness of coreference relation information in an NLP application. We run experiments with an Information Extraction module for the medical domain, and measure the performance of this module with and without the coreference relation information. We present the results of both this application-oriented evaluation of our system and of a standard cross-validation evaluation. In a separate experiment we also evaluate the effect of coreference information produced by a simple rule-based coreference module in a Question Answering application.",
}

% Democrat paper, new one, suggested by Frederic
@article{democrat,
  title = {{Le corpus Democrat et son exploitation. Pr{\'e}sentation}},
  author = {Landragin, Fr{\'e}d{\'e}ric},
  url = {https://hal.archives-ouvertes.fr/hal-03474748},
  journal = {{Langages}},
  publisher = {{Armand Colin (Larousse jusqu'en 2003)}},
  series = {Un corpus annote en chaînes de reference et son exploitation : le projet Democrat},
  volume = {224},
  pages = {11-24},
  year = {2021},
  month = Dec,
  keywords = {Annotated corpus ; reference ; coreference ; linguistic resource ; Corpus annot{\'e} ; r{\'e}f{\'e}rence ; cor{\'e}f{\'e}rence ; ressource linguistique},
}

% Democrat paper, old one
@article{democrat-old,
  title = {{Description, mod{\'e}lisation et d{\'e}tection automatique des cha{\^i}nes de r{\'e}f{\'e}rence (DEMOCRAT)}},
  author = {Landragin, Fr{\'e}d{\'e}ric},
  url = {https://hal.archives-ouvertes.fr/hal-01347949},
  journal = {{Bulletin de l'Association Fran{\c c}aise pour l'Intelligence Artificielle}},
  publisher = {{AFIA}},
  volume = {92},
  pages = {11-15},
  year = {2016},
}

% Democrat dataset
@misc{democrat-data,
    title = {Democrat},
    author = {Lattice and LiLPa and ICAR and IHRIM},
    url = {https://hdl.handle.net/11403/democrat/v1.1},
    note = {{ORTOLANG} ({Open} {Resources} {and} {TOols} {for} {LANGuage}) \textendash www.ortolang.fr},
    copyright = {Licence Creative Commons - Attribution - Partage dans les Mêmes Conditions 4.0 International},
    year = {2019}
}

% use of Democrat Dem1921 subset
@inproceedings{dem1921-cr,
    title = "{F}rench Coreference for Spoken and Written Language",
    author = "Wilkens, Rodrigo  and
      Oberle, Bruno  and
      Landragin, Fr{\'e}d{\'e}ric  and
      Todirascu, Amalia",
    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.10",
    pages = "80--89",
    abstract = "Coreference resolution aims at identifying and grouping all mentions referring to the same entity. In French, most systems run different setups, making their comparison difficult. In this paper, we present an extensive comparison of several coreference resolution systems for French. The systems have been trained on two corpora (ANCOR for spoken language and Democrat for written language) annotated with coreference chains, and augmented with syntactic and semantic information. The models are compared with different configurations (e.g. with and without singletons). In addition, we evaluate mention detection and coreference resolution apart. We present a full-stack model that outperforms other approaches. This model allows us to study the impact of mention detection errors on coreference resolution. Our analysis shows that mention detection can be improved by focusing on boundary identification while advances in the pronoun-noun relation detection can help the coreference task. Another contribution of this work is the first end-to-end neural French coreference resolution model trained on Democrat (written texts), which compares to the state-of-the-art systems for oral French.",
    language = "English",
    ISBN = "979-10-95546-34-4",
}

% Democrat annotation style
@inproceedings{democrat-annotstyle,
    title = "Interoperable annotation of (co)references in the Democrat project",
    author = {Grobol, Lo{\"\i}c  and
      Landragin, Fr{\'e}d{\'e}ric  and
      Heiden, Serge},
    booktitle = "Proceedings of the 13th Joint {ISO}-{ACL} Workshop on Interoperable Semantic Annotation ({ISA}-13)",
    year = "2017",
    url = "https://www.aclweb.org/anthology/W17-7411",
}


%ParCor
@inproceedings{GuillouEA:LREC14,
  author =       {Liane Guillou and Christian Hardmeier and Aaron Smith and J{\"o}rg Tiedemann and Bonnie Webber},
  title =        {{ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT}},
  booktitle =    {Proceedings of the 9th International Conference
                  on Language Resources and Evaluation (LREC-2014)},
  year =         2014,
  month =        {May},
  address =      {Reykjavik, Iceland},
  publisher =    {European Language Resources Association},
  topic =        {Alignment and Parallel corpora},
}

%ARRAU
@article{ARRAU2020,
	title = {Annotating a broad range of anaphoric phenomena, in a variety of genres: the {ARRAU} {Corpus}},
	volume = {26},
	issn = {1351-3249, 1469-8110},
	OLDurl = {https://www.cambridge.org/core/product/identifier/S1351324919000056/type/journal_article},
	url = {https://arrauproject.files.wordpress.com/2019/07/arrau-jnle-v5-ack.pdf},
	doi = {10.1017/S1351324919000056},
	abstract = {This paper presents the second release of arrau , a multigenre corpus of anaphoric information created over 10 years to provide data for the next generation of coreference/anaphora resolution systems combining different types of linguistic and world knowledge with advanced discourse modeling supporting rich linguistic annotations. The distinguishing features of arrau include the following: treating all NPs as markables, including non-referring NPs, and annotating their (non-) referentiality status; distinguishing between several categories of non-referentiality and annotating non-anaphoric mentions; thorough annotation of markable boundaries (minimal/maximal spans, discontinuous markables); annotating a variety of mention attributes, ranging from morphosyntactic parameters to semantic category;  annotating the genericity status of mentions; annotating a wide range of anaphoric relations, including bridging relations and discourse deixis; and, finally, annotating anaphoric ambiguity. The current version of the dataset contains 350K tokens and is publicly available from LDC. In this paper, we discuss in detail all the distinguishing features of the corpus, so far only partially presented in a number of conference and workshop papers, and we also discuss the development between the first release of arrau in 2008 and this second one.},
	number = {1},
	journal = {Natural Language Engineering},
	author = {Uryupina, Olga and Artstein, Ron and Bristot, Antonella and Cavicchio, Federica and Delogu, Francesca and Rodriguez, Kepa J. and Poesio, Massimo},
	month = jan,
	year = {2020},
	keywords = {Virtual Humans},
	pages = {95--128}
}

%ANCOR - French oral corpus
@inproceedings{ancor2016,
  TITLE = {{Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR}},
  AUTHOR = {D{\'e}soyer, Ad{\`e}le and Landragin, Fr{\'e}d{\'e}ric and Tellier, Isabelle and Lefeuvre, Ana{\"i}s and Antoine, Jean-Yves and Dinarelli, Marco},
  URL = {https://hal.archives-ouvertes.fr/hal-01344977},
  BOOKTITLE = {{17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'2016)}},
  ADDRESS = {Konya, Turkey},
  YEAR = {2016},
  MONTH = Apr,
  KEYWORDS = {mention-pair model ; dialogue corpus ; coreference resolution ; machine learning},
  PDF = {https://hal.archives-ouvertes.fr/hal-01344977/file/Coreference_Resolution_for_French_Oral_Data_Machine_Learning_Experiments_with_ANCOR.pdf},
  HAL_ID = {hal-01344977},
  HAL_VERSION = {v1},
}


% TuBa-D/Z corpus (German)
@inproceedings{tuba-dz,
    title = "A Unified Representation for Morphological, Syntactic, Semantic, and Referential Annotations",
    author = {Hinrichs, Erhard W.  and
      K{\"u}bler, Sandra  and
      Naumann, Karin},
    booktitle = "Proceedings of the Workshop on Frontiers in Corpus Annotations {II}: Pie in the Sky",
    month = jun,
    year = "2005",
    address = "Ann Arbor, Michigan",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W05-0303",
    pages = "13--20",
}


% paperback: 1993
% e-book: Chomsky, Noam. Lectures on Government and Binding, Berlin, New York: De Gruyter Mouton, 2010.
%  doi       = {doi:10.1515/9783110884166},
%  url       = {https://doi.org/10.1515/9783110884166},
%  year      = {2010},
@book{Chomsky2010,
  author    = {Noam Chomsky},
  title     = {Lectures on Government and Binding},
  year      = {1993},
  publisher = {De Gruyter Mouton},
  series    = {Studies in Generative Grammar (SGG)},
  isbn      = {9783110141313},
  address   = {Berlin, Germany}
}

%FGD
@Book{SgallHP:1986,
  author      = {Petr Sgall and Eva Haji\v{c}ov\'{a} and Jarmila Panevov\'{a}},
  title       = {{The Meaning of the Sentence and Its Semantic and Pragmatic Aspects}},
  publisher   = {Academia/Reidel Publishing Company},
  address     = {Prague/Dordrecht},
  year        = {1986}
}

@article{melchuk1981,
 ISSN = {00846570},
 URL = {http://www.jstor.org/stable/2155709},
 author = {Igor A. Mel'čuk},
 journal = {Annual Review of Anthropology},
 pages = {27--62},
 publisher = {Annual Reviews},
 title = {Meaning-Text Models: A Recent Trend in Soviet Linguistics},
 volume = {10},
 year = {1981}
}

@book{mel1988dependency,
  title={Dependency syntax: theory and practice},
  author={Mel'\v{c}uk, Igor Aleksandrovi\v{c} and others},
  year={1988},
  publisher={SUNY press}
}

% Universal Dependencies (CL)
@article{ud,
  author    = {de Marneffe, Marie-Catherine and Manning, Christopher and Nivre, Joakim and Zeman, Daniel},
  year      = 2021,
  title     = {{Universal Dependencies}},
  journal   = {Computational Linguistics},
  volume    = {47},
  number    = {2},
  pages     = {255--308},
  issn      = {1530-9312},
}

% Universal Dependencies v2
@inproceedings{ud2,
  author    = {Nivre, Joakim and de Marneffe, Marie-Catherine and Ginter, Filip and Hajič, Jan and Manning, Christopher and Pyysalo, Sampo and Schuster, Sebastian and Tyers, Francis and Zeman, Daniel},
  year      = 2020,
  title     = {{Universal Dependencies} v2: An Evergrowing Multilingual Treebank Collection},
  booktitle = {Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)},
  pages     = {4034--4043},
  publisher = {European Language Resources Association},
  address   = {Marseille, France},
  isbn      = {979-10-95546-34-4},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.497/}
}

@TechReport{carter1986,
  author =	 {Carter, David Maclean},
  title = 	 {{A shallow processing approach to anaphor resolution}},
  year = 	 1986,
  month = 	 may,
  institution =  {University of Cambridge, Computer Laboratory},
  address =	 {15 JJ Thomson Avenue, Cambridge CB3 0FD, United Kingdom,
          	  phone +44 1223 763500},
  doi = 	 {10.48456/tr-88},
  number = 	 {UCAM-CL-TR-88}
}

@article{lappin-leass-1994-algorithm,
    title = "An Algorithm for Pronominal Anaphora Resolution",
    author = "Lappin, Shalom  and
      Leass, Herbert J.",
    journal = "Computational Linguistics",
    volume = "20",
    number = "4",
    year = "1994",
    url = "https://www.aclweb.org/anthology/J94-4002",
    pages = "535--561",
}

@article{hobbs-resolving-1987,
  added-at = {2008-10-29T12:58:56.000+0100},
  author = {Hobbs, J.R.},
  biburl = {https://www.bibsonomy.org/bibtex/22eea688412b71a21556a22bbb2241d08/robo},
  interhash = {111d0415d5fb82d853cd0d7421e18f73},
  intrahash = {2eea688412b71a21556a22bbb2241d08},
  journal = {Lingua 44},
  keywords = {pronoun references resolving wismasys0809},
  pages = {311-338},
  timestamp = {2008-10-29T12:58:56.000+0100},
  title = {Resolving pronoun references},
  year = 1978
}

@techreport{ourtechrep2021,
title = {Coreference meets {Universal Dependencies} – a pilot experiment on harmonizing coreference datasets for 11 languages},
author = {Anna Nedoluzhko and Michal Nov{\'{a}}k and Martin Popel and Zden{\v{e}}k {\v{Z}}abokrtsk{\'{y}} and Daniel Zeman},
year = {2021},
institution = {{\'{U}}{FAL} {MFF} {UK}},
organization = {{\'{U}}{FAL} {MFF} {UK}},
address = {Praha, Czechia},
number = {66},
issn = {1214-5521},
url  = {https://ufal.mff.cuni.cz/techrep/tr66.pdf}
}

@inproceedings{corefud2022lrec,
    title = "{C}oref{UD} 1.0: Coreference Meets {U}niversal {D}ependencies",
    author = "Nedoluzhko, Anna and Nov{\'a}k, Michal and Popel, Martin and {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k and Zeldes, Amir and Zeman, Daniel",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.520",
    pages = "4859--4872",
}

@inproceedings{popel-etal-2013-coordination,
    title = "Coordination Structures in Dependency Treebanks",
    author = "Popel, Martin  and
      Mare{\v{c}}ek, David  and
      {\v{S}}t{\v{e}}p{\'a}nek, Jan  and
      Zeman, Daniel  and
      {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k",
    booktitle = "Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2013",
    address = "Sofia, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P13-1051",
    pages = "517--527",
}

@inproceedings{pdtconsolidated,
  author    = {Jan Haji{\v{c}} and Eduard Bej{\v{c}}ek and Jaroslava Hlav{\'{a}}{\v{c}}ov{\'{a}} and Marie Mikulov{\'{a}} and Milan Straka and Jan {\v{S}}těp{\'{a}}nek and Barbora {\v{S}}t{\v{e}}p{\'{a}}nkov{\'{a}}},
  year      = 2020,
  title     = {{Prague Dependency Treebank - Consolidated 1.0}},
  booktitle = {Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)},
  pages     = {5208--5218},
  publisher = {European Language Resources Association},
  address   = {Marseille, France},
  isbn      = {979-10-95546-34-4},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.641.pdf}
}

%GUM, clanek
@article{GUMdocumentation,
author = {Zeldes, Amir},
title = {{The GUM Corpus: Creating Multilayer Resources in the Classroom}},
year = {2017},
issue_date = {September 2017},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
volume = {51},
number = {3},
issn = {1574-020X},
url = {https://doi.org/10.1007/s10579-016-9343-x},
doi = {10.1007/s10579-016-9343-x},
abstract = {This paper presents the methodology, design principles and detailed evaluation of a new freely available multilayer corpus, collected and edited via classroom annotation using collaborative software. After briefly discussing corpus design for open, extensible corpora, five classroom annotation projects are presented, covering structural markup in TEI XML, multiple part of speech tagging, constituent and dependency parsing, information structural and coreference annotation, and Rhetorical Structure Theory analysis. Layers are inspected for annotation quality and together they coalesce to form a richly annotated corpus that can be used to study the interactions between different levels of linguistic description. The evaluation gives an indication of the expected quality of a corpus created by students with relatively little training. A multifactorial example study on lexical NP coreference likelihood is also presented, which illustrates some applications of the corpus. The results of this project show that high quality, richly annotated resources can be created effectively as part of a linguistics curriculum, opening new possibilities not just for research, but also for corpora in linguistics pedagogy.},
journal = {Language Resources and Evaluation},
month = sep,
pages = {581--612},
numpages = {32},
keywords = {Information structure, Coreference, Treebank, Classroom annotation, Parsing, Multilayer corpora}
}


% basic Polish coreference corpus, earlier version
@inproceedings{PCC2013,
  author    = {Maciej Ogrodniczuk and
               Katarzyna Glowińska and
               Mateusz Kopeć and
               Agata Savary and
               Magdalena Zawisławska},
  title     = {{Polish Coreference Corpus}},
  booktitle = {Human Language Technology. Challenges for Computer Science and Linguistics
               --- 6th Language and Technology Conference ({LTC} 2013), Revised Selected Papers},
  series    = {Lecture Notes in Computer Science},
  volume    = {9561},
  pages     = {215--226},
  publisher = {Springer},
  year      = {2013},
  url       = {https://doi.org/10.1007/978-3-319-43808-5\_17},
}

% Polish coreference corpus in numbers
@inproceedings{PCCinnumbers,
    title = {{{P}olish Coreference Corpus in Numbers}},
    author = "Ogrodniczuk, Maciej  and
      Kope{\'c}, Mateusz  and
      Savary, Agata",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC} 2014)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1088_Paper.pdf",
    pages = "3234--3238",
    abstract = "This paper attempts a preliminary interpretation of the occurrence of different types of linguistic constructs in the manually-annotated Polish Coreference Corpus by providing analyses of various statistical properties related to mentions, clusters and near-identity links. Among others, frequency of mentions, zero subjects and singleton clusters is presented, as well as the average mention and cluster size. We also show that some coreference clustering constraints, such as gender or number agreement, are frequently not valid in case of Polish. The need for lemmatization for automatic coreference resolution is supported by an empirical study. Correlation between cluster and mention count within a text is investigated, with short characteristics of outlier cases. We also examine this correlation in each of the 14 text domains present in the corpus and show that none of them has abnormal frequency of outlier texts regarding the cluster/mention ratio. Finally, we report on our negative experiences concerning the annotation of the near-identity relation. In the conclusion we put forward some guidelines for the future research in the area.",
}

% PCC coreference book
@book{bookOgrodniczuk,
    author = "Ogrodniczuk, Maciej and Głowińska, Katarzyna and Kopeć, Mateusz and Savary, Agata and Zawisławska, Magdalena",
    url = "http://www.degruyter.com/view/product/428667",
    publisher = "Walter De Gruyter",
    title = {{Coreference in {P}olish: Annotation, Resolution and Evaluation}},
    isbn = "978-1-61451-835-8",
    year = "2015"
}

% RuCor
@inproceedings{RuCorDialog,
    author = "Toldova, Svetlana and Roytberg, Anna and Ladygina, Alina and Vasilyeva, Maria and Azerkovich, Ilya and Kurzukov, Matvei and Sim, G. and Gorshkov, D.V. and Ivanova, A. and Nedoluzhko, Anna and Grishina, Yulia",
    title = {{Evaluating Anaphora and Coreference Resolution for Russian}},
    booktitle = "Komp'juternaja lingvistika i intellektual'nye tehnologii. Po materialam ezhegodnoj Mezhdunarodnoj konferencii Dialog",
    year = "2014",
    pages = "681--695",
    language = "english"
}

% Lithuanian Coreference Corpus - lindati data
@misc{LithuanianData,
 title = {{Lithuanian Coreference Corpus}},
 author = {{\v Z}itkus, Voldemaras},
 url = {http://hdl.handle.net/20.500.11821/19},
 note = {{CLARIN}-{LT} digital library in the Republic of Lithuania},
 copyright = {{PUB}\_{CLARIN}-{LT}\_End-User-Licence-Agreement\_{EN}-{LT}},
 year = {2018}
}

% ParCorFull - lindati data
@misc{ParCorFullData,
 title = {{ParCorFull}: A Parallel Corpus Annotated with Full Coreference},
 author = {Lapshinova-Koltunski, Ekaterina and Hardmeier, Christian and Krielke, Pauline},
 url = {http://hdl.handle.net/11372/LRT-2614},
 note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL}), Faculty of Mathematics and Physics, Charles University},
 copyright = {Creative Commons - Attribution-{NonCommercial}-{NoDerivatives} 4.0 International ({CC} {BY}-{NC}-{ND} 4.0)},
 year = {2018} }

% Postdam Commentary Corpus - very old Stede's basic description
@inproceedings{stede-2004-potsdam,
    title = "The {P}otsdam Commentary Corpus",
    author = "Stede, Manfred",
    booktitle = "Proceedings of the Workshop on Discourse Annotation",
    month = jul,
    year = "2004",
    address = "Barcelona, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W04-0213",
    pages = "96--102",
}


%Potsdam CC online book
@book{PCCannotBook,
  title     = {Handbuch Textannotation},
  series    = {Potsdamer Kommentarkorpus 2.0},
  editor    = {Manfred Stede},
  isbn      = {978-3-86956-343-5},
  year      = {2015},
}

@inproceedings{potsdamCC-2020,
    title = {{The {P}otsdam Commentary Corpus 2.2: Extending Annotations for Shallow Discourse Parsing}},
    author = "Bourgonje, Peter  and
      Stede, Manfred",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.133/",
    pages = "1061--1066",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "We present the Potsdam Commentary Corpus 2.2, a German corpus of news editorials annotated on several different levels. New in the 2.2 version of the corpus are two additional annotation layers for coherence relations following the Penn Discourse TreeBank framework. Specifically, we add relation senses to an already existing layer of discourse connectives and their arguments, and we introduce a new layer with additional coherence relation types, resulting in a German corpus that mirrors the PDTB. The aim of this is to increase usability of the corpus for the task of shallow discourse parsing. In this paper, we provide inter-annotator agreement figures for the new annotations and compare corpus statistics based on the new annotations to the equivalent statistics extracted from the PDTB."
}

% AnCora
@inproceedings{ancora,
    title = {{{A}n{C}ora: Multilevel Annotated Corpora for {C}atalan and {S}panish}},
    author = "Taul{\'e}, Mariona  and
      Mart{\'\i}, M. Ant{\`o}nia  and
      Recasens, Marta",
    booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC} 2008)",
    month = may,
    year = "2008",
    address = "Marrakech, Morocco",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/35_paper.pdf",
    abstract = "This paper presents AnCora, a multilingual corpus annotated at different linguistic levels consisting of 500,000 words in Catalan (AnCora-Ca) and in Spanish (AnCora-Es). At present AnCora is the largest multilayer annotated corpus of these languages freely available from http://clic.ub.edu/ancora. The two corpora consist mainly of newspaper texts annotated at different levels of linguistic description: morphological (PoS and lemmas), syntactic (constituents and functions), and semantic (argument structures, thematic roles, semantic verb classes, named entities, and WordNet nominal senses). All resulting layers are independent of each other, thus making easier the data management. The annotation was performed manually, semiautomatically, or fully automatically, depending on the encoded linguistic information. The development of these basic resources constituted a primary objective, since there was a lack of such resources for these languages. A second goal was the definition of a consistent methodology that can be followed in further annotations. The current versions of AnCora have been used in several international evaluation competitions",
}



%PCEDT
@inproceedings{PCEDT2016coreference,
    title = "Coreference in {P}rague {C}zech-{E}nglish {D}ependency {T}reebank",
    author = "Nedoluzhko, Anna  and
      Nov{\'a}k, Michal  and
      Cinkov{\'a}, Silvie  and
      Mikulov{\'a}, Marie  and
      M{\'\i}rovsk{\'y}, Ji{\v{r}}{\'\i}",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC} 2016)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/L16-1026",
    pages = "169--176",
    abstract = "We present coreference annotation on parallel Czech-English texts of the Prague Czech-English Dependency Treebank (PCEDT). The paper describes innovations made to PCEDT 2.0 concerning coreference, as well as coreference information already present there. We characterize the coreference annotation scheme, give the statistics and compare our annotation with the coreference annotation in Ontonotes and Prague Dependency Treebank for Czech. We also present the experiments made using this corpus to improve the alignment of coreferential expressions, which helps us to collect better statistics of correspondences between types of coreferential relations in Czech and English. The corpus released as PCEDT 2.0 Coref is publicly available.",
}

@inproceedings{szegedkoref2018,
    title = {{{S}zeged{K}oref: A {H}ungarian Coreference Corpus}},
    author = "Vincze, Veronika  and
      Heged{\H{u}}s, Kl{\'a}ra  and
      Sliz-Nagy, Alex  and
      Farkas, Rich{\'a}rd",
    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",
    url = "https://www.aclweb.org/anthology/L18-1061",
}

%OntoNotes - coreference guidelines for English
@manual{ontonotes-coref-manual,
title = {{Co-reference Guidelines for English OntoNotes}},
author = {{BBN Technologies}},
year = {2006},
note_tmp = {Available at {\scriptsize \url{http://catalog.ldc.upenn.edu/docs/LDC2007T21/coreference/english-coref.pdf}}},
}

% the very first version of OntoNotes
@article{ontonotes1.0,
    author    = {Sameer S. Pradhan and Eduard H. Hovy and Mitchell P. Marcus and Martha Palmer and Lance A. Ramshaw and Ralph M. Weischedel},
    title     = {{OntoNotes: a Unified Relational Semantic Representation}},
    journal   = {International Journal of Semantic Computing},
    volume    = {1},
    number    = {4},
    year      = {2007},
    pages     = {405--419},
}

% OntoNotes - a book section that is cited by the authors of OntoNotes themselves
@inproceedings{ontonotes5.0,
    author = {Weischedel, Ralph and Hovy, Eduard and Marcus, Mitchell and Palmer, Martha and Belvin, Robert and Pradhan, Sameer and
              Ramshaw, Lance and Xue, Nianwen},
    title = {OntoNotes: A Large Training Corpus for Enhanced Processing},
    booktitle = {Handbook of Natural Language Processing and Machine Translation: DARPA Global Autonomous Language Exploitation},
    publisher = {Springer-Verlag},
    address = {New York},
    year = {2011},
    pages = {54--63},
}


%OTHER SOURCES (references in text, not our data that we transfer
%=========================================================================================================


%DiscoMT shared task
@InProceedings{hardmeier-EtAl:2015:DiscoMT,
  author    = {Hardmeier, Christian  and  Nakov, Preslav  and  Stymne, Sara  and  Tiedemann, J\"{o}rg  and  Versley, Yannick  and  Cettolo, Mauro},
  title     = {Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation},
  booktitle = {Proceedings of the Second Workshop on Discourse in Machine Translation},
  month     = {September},
  year      = {2015},
  address   = {Lisbon, Portugal},
  publisher = {Association for Computational Linguistics},
  pages     = {1--16},
  url       = {http://aclweb.org/anthology/W15-2501}
}

%wmt17
@inproceedings{bojar-etal-2017-findings,
    title = "Findings of the 2017 Conference on Machine Translation ({WMT}17)",
    author = "Bojar, Ond{\v{r}}ej  and
      Chatterjee, Rajen  and
      Federmann, Christian  and
      Graham, Yvette  and
      Haddow, Barry  and
      Huang, Shujian  and
      Huck, Matthias  and
      Koehn, Philipp  and
      Liu, Qun  and
      Logacheva, Varvara  and
      Monz, Christof  and
      Negri, Matteo  and
      Post, Matt  and
      Rubino, Raphael  and
      Specia, Lucia  and
      Turchi, Marco",
    booktitle = "Proceedings of the Second Conference on Machine Translation",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W17-4717",
    doi = "10.18653/v1/W17-4717",
    pages = "169--214",
}

%Recasens near-identity
@inproceedings{recasensNearIdentity2010,
    title = {{A Typology of Near-Identity Relations for Coreference ({NIDENT})}},
    author = "Recasens, Marta  and
      Hovy, Eduard  and
      Mart{\'\i}, M. Ant{\`o}nia",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC} 2010)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/160_Paper.pdf",
    abstract = "The task of coreference resolution requires people or systems to decide when two referring expressions refer to the 'same' entity or event. In real text, this is often a difficult decision because identity is never adequately defined, leading to contradictory treatment of cases in previous work. This paper introduces the concept of 'near-identity', a middle ground category between identity and non-identity, to handle such cases systematically. We present a typology of Near-Identity Relations (NIDENT) that includes fifteen typesâ€•grouped under four main familiesâ€•that capture a wide range of ways in which (near-)coreference relations hold between discourse entities. We validate the theoretical model by annotating a small sample of real data and showing that inter-annotator agreement is high enough for stability (K=0.58, and up to K=0.65 and K=0.84 when leaving out one and two outliers, respectively). This work enables subsequent creation of the first internally consistent language resource of this type through larger annotation efforts.",
}

%singletons
@inproceedings{2011singletons,
    title = "Singletons and Coreference Resolution Evaluation",
    author = {K{\"u}bler, Sandra  and
      Zhekova, Desislava},
    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing 2011",
    month = sep,
    year = "2011",
    address = "Hissar, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/R11-1036",
    pages = "261--267",
}

%Clark Bridging classic
@InCollection{clark:bridging,
  author = 	"Clark, Herbert H.",
  shortauthor = "Clark, H.~H.",
  title = 	"Bridging",
  booktitle = 	"Thinking: Readings in Cognitive Science",
  publisher = 	"Cambridge University Press",
  year = 	"1977",
  editor = 	"Johnson-Laird, P. N. and Wason, P.C.",
  pages = 	"411--420",
  address = 	"London and New York",
  quotedby = 	"StevensonEtAl91",
  topics =	"reference definite descriptions comprehension strategies",
  note = 	""
}

%Szeged treebank
@inproceedings{szegedTreebank,
author = {Csendes, D\'{o}ra and Csirik, J\'{a}nos and Gyim\'{o}thy, Tibor and Kocsor, Andr\'{a}s},
title = {The {Szeged} Treebank},
year = {2005},
isbn = {3540287892},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
url = {https://doi.org/10.1007/11551874_16},
doi = {10.1007/11551874_16},
abstract = {The major aim of the Szeged Treebank project was to create a high-quality database of syntactic structures for Hungarian that can serve as a golden standard to further research in linguistics and computational language processing. The treebank currently contains full syntactic parsing of about 82,000 sentences, which is the result of accurate manual annotation. Current paper describes the linguistic theory as well as the actual method used in the annotation process. In addition, the application of the treebank for the training of automated syntactic parsers is also presented.},
booktitle = {Proceedings of the 8th International Conference on Text, Speech and Dialogue},
pages = {123–131},
numpages = {9},
location = {Karlovy Vary, Czech Republic},
series = {TSD'05}
}

%PoCoS - Krasavina and Chiarchos
@inproceedings{PoCoSKrasavinaC07,
  author    = {Olga Krasavina and
               Christian Chiarcos},
  editor    = {Branimir Boguraev and
               Nancy Ide and
               Adam Meyers and
               Shigeko Nariyama and
               Manfred Stede and
               Janyce Wiebe and
               Graham Wilcock},
  title     = {PoCoS - Potsdam Coreference Scheme},
  booktitle = {Proceedings of the Linguistic Annotation Workshop, LAW@ACL 2007, Prague,
               Czech Republic, June 28-29, 2007},
  pages     = {156--163},
  publisher = {Association for Computational Linguistics},
  year      = {2007},
  url       = {https://www.aclweb.org/anthology/W07-1525/},
  timestamp = {Thu, 21 Jan 2021 17:37:17 +0100},
  biburl    = {https://dblp.org/rec/conf/acllaw/KrasavinaC07.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%tred_coreference
@inproceedings{coreference_tred,
  author    = {Jiří Mírovský and Petr Pajas and Anna Nedoluzhko},
  year      = 2010,
  title     = {Annotation Tool for Extended Textual Coreference and Bridging Anaphora},
  booktitle = {Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010)},
  pages     = {168--171},
  publisher = {European Language Resources Association},
  address   = {Valletta, Malta},
  isbn      = {2-9517408-6-7},
}

%penn trebank
@article{pennTreenank,
    title = "Building a Large Annotated Corpus of {E}nglish: The {P}enn {T}reebank",
    author = "Marcus, Mitchell P.  and
      Santorini, Beatrice  and
      Marcinkiewicz, Mary Ann",
    journal = "Computational Linguistics",
    volume = "19",
    number = "2",
    year = "1993",
    url = "https://www.aclweb.org/anthology/J93-2004",
    pages = "313--330",
}

%Amir search tool ANNIS
@article{annis,
    author = {Krause, Thomas and Zeldes, Amir},
    title = "{ANNIS3: A new architecture for generic corpus query and visualization}",
    journal = {Digital Scholarship in the Humanities},
    volume = {31},
    number = {1},
    pages = {118-139},
    year = {2014},
    month = {10},
    abstract = "{This article is concerned with the data structures, properties of query languages, and visualization facilities required for the generic representation of richly annotated, heterogeneous linguistic corpora. We propose that above and beyond a general graph-based data model, which is becoming increasingly popular in many complex annotation formats, a well-defined concept of multiple, potentially conflicting segmentation layers must be introduced to deal with different sources and applications of corpus data flexibly. We also propose a generic solution for specialized corpus visualizations in a Web interface using annotation-triggered style sheets, which leverage the power of modern browsers and CSS for multiple and highly customizable views of primary data. We offer an implementation and evaluation of our architecture in ANNIS3, an open-source browser-based architecture for corpus search and visualization. We present three case studies to test the coverage of the system, encompassing core linguistic and digital humanities use-cases including richly annotated newspaper treebanks, multilingual diplomatic and normalized manuscript materials edited in TEI, and analysis of multimodal recordings of spoken language.}",
    issn = {2055-7671},
    doi = {10.1093/llc/fqu057},
    url = {https://doi.org/10.1093/llc/fqu057},
    eprint = {https://academic.oup.com/dsh/article-pdf/31/1/118/21518095/fqu057.pdf},
}

%MATE Poesio
@INPROCEEDINGS{Poesio04mate,
    author = {Massimo Poesio},
    title = {The MATE/GNOME proposals for anaphoric annotation, revisited},
    booktitle = {In Michael Strube and Candy Sidner (editors), Proceedings of the 5th SIGdial Workshop on Discourse and Dialogue},
    year = {2004},
    pages = {154--162}
}

%MMAX
@inproceedings{mmax2001,
    title = "Annotating Anaphoric and Bridging Relations with {MMAX}",
    author = "Müller, Christoph  and
      Strube, Michael",
    booktitle = "Proceedings of the Second {SIG}dial Workshop on Discourse and Dialogue",
    year = "2001",
    url = "https://www.aclweb.org/anthology/W01-1612",
}

@inproceedings{mmax2,
    author = {Christoph Müller and Michael Strube},
    title = {Multi-level annotation of linguistic data with MMAX2},
    booktitle = {Corpus Technology and Language Pedagogy: New Resources, New Tools, New Methods},
    year = {2006}
}

%discourse deixis
@inproceedings{discoursedeixis,
    title = "Discourse Deixis: Reference to Discourse Segments",
    author = "Webber, Bonnie Lynn",
    booktitle = "26th Annual Meeting of the Association for Computational Linguistics",
    month = jun,
    year = "1988",
    address = "Buffalo, New York, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P88-1014",
    doi = "10.3115/982023.982037",
    pages = "113--122",
}

%abstract anaphora
@InProceedings{abstract_anaphora,
author="Dipper, Stefanie
and Rieger, Christine
and Seiss, Melanie
and Zinsmeister, Heike",
editor="Hendrickx, Iris
and Lalitha Devi, Sobha
and Branco, Ant{\'o}nio
and Mitkov, Ruslan",
title="Abstract Anaphors in German and English",
booktitle="Anaphora Processing and Applications",
year="2011",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="96--107",
abstract="Abstract anaphors refer to abstract referents such as facts or events. Automatic resolution of this kind of anaphora still poses a problem for language processing systems. The present paper presents a corpus-based comparative study on German and English abstract anaphors and their antecedents to gain further insights into the linguistic properties of different anaphor types and their distributions. To this end, parallel texts from the Europarl corpus have been annotated with functional and morpho-syntactic information. We outline the annotation process and show how we start out with a small set of well-defined markables in German. We successively expand this set in a cross-linguistic bootstrapping approach by collecting translation equivalents from English and using them to track down further forms of German anaphors, and, in the next turn, in English, etc.",
isbn="978-3-642-25917-3"
}

%MUC-7
@inproceedings{muc7hirschman,
    title = "Appendix {F}: {MUC}-7 Coreference Task Definition (version 3.0)",
    author = "Hirschman, Lynette  and
      Chinchor, Nancy",
    booktitle = "Seventh Message Understanding Conference ({MUC}-7): Proceedings of a Conference Held in Fairfax, Virginia, {A}pril 29 - May 1, 1998",
    year = "1998",
    url = "https://www.aclweb.org/anthology/M98-1029",
}

%COREA Guidelines
@inproceedings{corea-guidelines,
    title = "The COREA-project: Manual for the annotation of coreference in Dutch texts",
    author = "Bouma, Gosse  and Daelemans, Walter and Hendrickx, Iris and Hoste, Veronique and Mineur, Anne-Mare",
    booktitle = "University Groningen",
    year = "2007",
}

% UDPipe
@InProceedings{udpipe,
  author    = {Straka, Milan  and  Strakov\'{a}, Jana},
  title     = {{Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe}},
  booktitle = {Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {88--99},
  url       = {http://www.aclweb.org/anthology/K/K17/K17-3009.pdf}
}

% UDPipe 2
@InProceedings{udpipe2,
    title = "{UDP}ipe 2.0 Prototype at {C}o{NLL} 2018 {UD} Shared Task",
    author = "Straka, Milan",
    booktitle = "Proceedings of the {C}o{NLL} 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K18-2020",
    doi = "10.18653/v1/K18-2020",
    pages = "197--207",
}

@inproceedings{ogorman-etal-2018-amr,
    title = "{AMR} Beyond the Sentence: the Multi-sentence {AMR} corpus",
    author = "O{'}Gorman, Tim  and
      Regan, Michael  and
      Griffitt, Kira  and
      Hermjakob, Ulf  and
      Knight, Kevin  and
      Palmer, Martha",
    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://www.aclweb.org/anthology/C18-1313",
    pages = "3693--3702",
    abstract = "There are few corpora that endeavor to represent the semantic content of entire documents. We present a corpus that accomplishes one way of capturing document level semantics, by annotating coreference and similar phenomena (bridging and implicit roles) on top of gold Abstract Meaning Representations of sentence-level semantics. We present a new corpus of this annotation, with analysis of its quality, alongside a plausible baseline for comparison. It is hoped that this Multi-Sentence AMR corpus (MS-AMR) may become a feasible method for developing rich representations of document meaning, useful for tasks such as information extraction and question answering.",
}

@inproceedings{Korzen2011AnaphoricRI,
  title={Anaphoric Relations in the {Copenhagen} Dependency Treebanks},
  author={I{\o}rn Korzen and Matthias Buch-Kromann},
  booktitle = {Proceedings of Beyond Semantics: Corpus-based Investigations of Pragmatic and Discourse Phenomena},
  year = {2011},
  pages = {83--98}
}

@inproceedings{fonseca-etal-2017,
  author = {Fonseca, Evandro and Sesti, Vinicius and Collovini, Sandra and Vieira, Renata and Leal, Ana Lu{\'\i}sa and Quaresma, Paulo},
  title  = {Collective Elaboration of a Coreference Annotated Corpus for Portuguese Texts},
  url    = {http://ceur-ws.org/Vol-1881/Overview3.pdf},
  volume = {1881},
  booktitle = {Proceedings of the Second Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2017) co-located with 33th Conference of the Spanish Society for Natural Language Processing (SEPLN 2017)},
  address = {Murcia, Spain},
  year   = {2017},
  issn   = {1613-0073}
}

@inproceedings{soraluze-etal-2012,
  author = {Soraluze, Ander and Arregi, Olatz and Arregi, Xabier and Ceberio, Klara and Díaz de Ilarraza, Arantza},
  title  = {Mention Detection: First Steps in the Development of a {Basque} Coreference Resolution System},
  year   = {2012},
  booktitle = {Proceedings of KONVENS 2012 (Main track: oral presentations)},
  pages  = {128--136},
  address = {Wien, Austria},
  isbn   = {3-85027-005-X},
  url    = {http://ixa.si.ehu.es/sites/default/files/dokumentuak/3739/MentionDetection.pdf}
}

@inproceedings{shimazu-etal-2020,
  author = {Shimazu, Sho and Takase, Sho and Nakazawa, Toshiaki and Okazaki, Naoaki},
  title  = {Evaluation Dataset for Zero Pronoun in Japanese to English Translation},
  year   = {2020},
  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
  pages  = {3630--3634},
  address = {Marseille, France},
  url    = {http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.447}
}

@article{webster-etal-2018-mind,
    title = "Mind the {GAP}: A Balanced Corpus of Gendered Ambiguous Pronouns",
    author = "Webster, Kellie  and
      Recasens, Marta  and
      Axelrod, Vera  and
      Baldridge, Jason",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "6",
    year = "2018",
    url = "https://www.aclweb.org/anthology/Q18-1042",
    doi = "10.1162/tacl_a_00240",
    pages = "605--617",
    abstract = "Coreference resolution is an important task for natural language understanding, and the resolution of ambiguous pronouns a longstanding challenge. Nonetheless, existing corpora do not capture ambiguous pronouns in sufficient volume or diversity to accurately indicate the practical utility of models. Furthermore, we find gender bias in existing corpora and systems favoring masculine entities. To address this, we present and release GAP, a gender-balanced labeled corpus of 8,908 ambiguous pronoun{--}name pairs sampled to provide diverse coverage of challenges posed by real-world text. We explore a range of baselines that demonstrate the complexity of the challenge, the best achieving just 66.9{\%} F1. We show that syntactic structure and continuous neural models provide promising, complementary cues for approaching the challenge.",
}

@inproceedings{rodriguez-etal-2010,
  author = {Rodríguez, Kepa J. and Delogu, Francesca and Versley, Yannick and Stemle, Egon and Poesio, Massimo},
  year = {2010},
  title = {Anaphoric Annotation of Wikipedia and Blogs in the Live Memories Corpus},
  booktitle = {Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010},
  month = {May},
  address = {Valletta, Malta},
  pages = {157--163}
}

@inproceedings{minard-etal-2016-meantime,
    title = "{MEANTIME}, the {N}ews{R}eader Multilingual Event and Time Corpus",
    author = "Minard, Anne-Lyse  and
      Speranza, Manuela  and
      Urizar, Ruben  and
      Altuna, Bego{\~n}a  and
      van Erp, Marieke  and
      Schoen, Anneleen  and
      van Son, Chantal",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC} 2016)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/L16-1699",
    pages = "4417--4422",
    abstract = "In this paper, we present the NewsReader MEANTIME corpus, a semantically annotated corpus of Wikinews articles. The corpus consists of 480 news articles, i.e. 120 English news articles and their translations in Spanish, Italian, and Dutch. MEANTIME contains annotations at different levels. The document-level annotation includes markables (e.g. entity mentions, event mentions, time expressions, and numerical expressions), relations between markables (modeling, for example, temporal information and semantic role labeling), and entity and event intra-document coreference. The corpus-level annotation includes entity and event cross-document coreference. Semantic annotation on the English section was performed manually; for the annotation in Italian, Spanish, and (partially) Dutch, a procedure was devised to automatically project the annotations on the English texts onto the translated texts, based on the manual alignment of the annotated elements; this enabled us not only to speed up the annotation process but also provided cross-lingual coreference. The English section of the corpus was extended with timeline annotations for the SemEval 2015 TimeLine shared task. The {``}First CLIN Dutch Shared Task{''} at CLIN26 was based on the Dutch section, while the EVALITA 2016 FactA (Event Factuality Annotation) shared task, based on the Italian section, is currently being organized.",
}

@inproceedings{iida-etal-2007-annotating,
    title = "Annotating a {J}apanese Text Corpus with Predicate-Argument and Coreference Relations",
    author = "Iida, Ryu  and
      Komachi, Mamoru  and
      Inui, Kentaro  and
      Matsumoto, Yuji",
    booktitle = "Proceedings of the Linguistic Annotation Workshop",
    month = jun,
    year = "2007",
    address = "Prague, Czech Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W07-1522",
    pages = "132--139",
}

@inproceedings{nedoluzhko-etal-2018-paws,
    title = {{{PAWS}: A Multi-lingual Parallel Treebank with Anaphoric Relations}},
    author = "Nedoluzhko, Anna  and
      Nov{\'a}k, Michal  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W18-0708",
    doi = "10.18653/v1/W18-0708",
    pages = "68--76",
    abstract = "We present PAWS, a multi-lingual parallel treebank with coreference annotation. It consists of English texts from the Wall Street Journal translated into Czech, Russian and Polish. In addition, the texts are syntactically parsed and word-aligned. PAWS is based on PCEDT 2.0 and continues the tradition of multilingual treebanks with coreference annotation. The paper focuses on the coreference annotation in PAWS and its language-specific differences. PAWS offers linguistic material that can be further leveraged in cross-lingual studies, especially on coreference.",
}

@inproceedings{mirzaei-safari-2018-persian,
    title = "{P}ersian Discourse Treebank and coreference corpus",
    author = "Mirzaei, Azadeh  and
      Safari, Pegah",
    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",
    url = "https://www.aclweb.org/anthology/L18-1638",
}

@inproceedings{mikulova-etal-2017-pdtsc,
  author = {Mikulová, Marie and Mírovský, Jiří and Nedoluzhko, Anna and Pajas, Petr and Štěpánek, Jan and Hajič, Jan},
  year = {2017},
  title = {{PDTSC} 2.0 - Spoken Corpus with Rich Multi-layer Structural Annotation},
  editor = {Ekštein, K. and Matoušek, V.},
  booktitle = {Text, Speech, and Dialogue. TSD 2017},
  series = {Lecture Notes in Computer Science},
  volume = {10415},
  publisher = {Springer},
  address = {Cham, Switzerland},
  url = {https://doi.org/10.1007/978-3-319-64206-2_15}
}

@misc{chen2018preco,
      title={PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution},
      author={Hong Chen and Zhenhua Fan and Hao Lu and Alan L. Yuille and Shu Rong},
      year={2018},
      eprint={1810.09807},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/1810.09807}
}

@article{vanCranenburgh_2019,
  title={A {Dutch} coreference resolution system with an evaluation on literary fiction},
  volume={9},
  url={https://clinjournal.org/clinj/article/view/91},
  journal={Computational Linguistics in the Netherlands Journal},
  author={van Cranenburgh, Andreas},
  year={2019},
  month={Dec.},
  pages={27-54}
}

@inproceedings{coltekin-etal-2017-converting,
    title = {Converting the {T}{\"u}{B}a-{D}/{Z} Treebank of {G}erman to {U}niversal {D}ependencies},
    author = {{\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}  and
      Campbell, Ben  and
      Hinrichs, Erhard  and
      Telljohann, Heike},
    booktitle = "Proceedings of the {N}o{D}a{L}i{D}a 2017 Workshop on Universal Dependencies ({UDW} 2017)",
    month = may,
    year = "2017",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W17-0404",
    pages = "27--37",
}

@misc{aktas-2019,
  author = {Akta{\c{s}}, Berfin and Stede, Manfred},
  title = {{TwiConv} Annotation Guidelines: Coreference},
  year = {2019},
  month = {Oct},
  url = {https://github.com/berfingit/TwiConv/blob/main/TwiConv-Coreference-AnnotationGuideline.pdf}
}

@misc{poesio-etal-2004-venex,
  author = {Poesio, Massimo and Delmonte, Rodolfo and Bristot, Antonella and Chiran, Luminita and Tonelli, Sara},
  year = {2004},
  title = {The {VENEX} corpus of anaphora and deixis in spoken and written {Italian}},
  url = {https://www.academia.edu/36917145/The_VENEX_corpus_of_anaphora_and_deixis_in_spoken_and_written_Italian}
}

% StanfordNLP
@inproceedings{stanfordNLP,
    title = "{U}niversal {D}ependency Parsing from Scratch",
    author = "Qi, Peng  and
      Dozat, Timothy  and
      Zhang, Yuhao  and
      Manning, Christopher D.",
    booktitle = "Proceedings of the {C}o{NLL} 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K18-2016",
    doi = "10.18653/v1/K18-2016",
    pages = "160--170",
    abstract = "This paper describes Stanford{'}s system at the CoNLL 2018 UD Shared Task. We introduce a complete neural pipeline system that takes raw text as input, and performs all tasks required by the shared task, ranging from tokenization and sentence segmentation, to POS tagging and dependency parsing. Our single system submission achieved very competitive performance on big treebanks. Moreover, after fixing an unfortunate bug, our corrected system would have placed the 2nd, 1st, and 3rd on the official evaluation metrics LAS, MLAS, and BLEX, and would have outperformed all submission systems on low-resource treebank categories on all metrics by a large margin. We further show the effectiveness of different model components through extensive ablation studies.",
}

@inproceedings{semeval-2010,
    title = {{{S}em{E}val-2010 Task 1: Coreference Resolution in Multiple Languages}},
    author = "Recasens, Marta  and
      M{\`a}rquez, Llu{\'\i}s  and
      Sapena, Emili  and
      Mart{\'\i}, M. Ant{\`o}nia  and
      Taul{\'e}, Mariona  and
      Hoste, V{\'e}ronique  and
      Poesio, Massimo  and
      Versley, Yannick",
    booktitle = "Proceedings of the 5th International Workshop on Semantic Evaluation",
    year = "2010",
    address = "Uppsala, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/S10-1001",
    pages = "1--8",
}

% KNACK-2002 corpus (Dutch)
@inproceedings{knack-2002,
    title = {{{KNACK}-2002: a Richly Annotated Corpus of {D}utch Written Text}},
    author = "Hoste, V{\'e}ronique  and
      De Pauw, Guy",
    booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC} 2006)",
    month = may,
    year = "2006",
    address = "Genoa, Italy",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/342_pdf.pdf",
    abstract = "In this paper, we introduce the annotated KNACK-2002 corpus of Dutch written text. The corpus features five different annotation layers, ranging from the annotation of morphological boundaries at the word level, over the annotation of part-of-speech tags and phrase chunks at the syntactic level to the annotation of named entities at the semantic level and coreferential relations at the discourse level. We believe the corpus is unique in the Dutch language area because of its richness of annotation layers, providing researchers with a useful gold standard data set for different NLP tasks in the domains of morphology, (morpho)syntax, semantics and discourse.",
}

% LiveMemories corpus (Italian)
@inproceedings{live-memories,
    title = "Anaphoric Annotation of {W}ikipedia and Blogs in the Live Memories Corpus",
    author = "Rodr{\'\i}guez, Kepa Joseba  and
      Delogu, Francesca  and
      Versley, Yannick  and
      Stemle, Egon W.  and
      Poesio, Massimo",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC} 2010)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/431_Paper.pdf",
    abstract = {The Live Memories corpus is an Italian corpus annotated for anaphoric relations. This annotation effort aims to contribute to two significant issues for the CL research: the lack of annotated anaphoric resources for Italian and the increasing interest for the social Web. The Live Memories Corpus contains texts from the Italian Wikipedia about the region Trentino/S{\"u}d Tirol and from blog sites with users' comments. It is planned to add a set of articles of local news papers. The corpus includes manual annotated information about morphosyntactic agreement, anaphoricity, and semantic class of the NPs. The anaphoric annotation includes discourse deixis, bridging relations and markes cases of ambiguity with the annotation of alternative interpretations. For the annotation of the anaphoric links the corpus takes into account specific phenomena of the Italian language like incorporated clitics and phonetically non realized pronouns. Reliability studies for the annotation of the mentioned phenomena and for annotation of anaphoric links in general offer satisfactory results. The Wikipedia and blogs dataset will be distributed under Creative Commons Attributions licence.},
}

@inproceedings{conll-2011,
    title = "{C}o{NLL}-2011 Shared Task: Modeling Unrestricted Coreference in {O}nto{N}otes",
    author = "Pradhan, Sameer  and
      Ramshaw, Lance  and
      Marcus, Mitchell  and
      Palmer, Martha  and
      Weischedel, Ralph  and
      Xue, Nianwen",
    booktitle = "Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task",
    month = jun,
    year = "2011",
    address = "Portland, Oregon, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W11-1901",
    pages = "1--27",
}

% CoNLL 2012 Shared Task on Modeling Multilingual Unrestricted Coreference in OntoNotes
@inproceedings{conll-2012,
    title = {{{C}o{NLL}-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in {O}nto{N}otes}},
    author = "Pradhan, Sameer  and
      Moschitti, Alessandro  and
      Xue, Nianwen  and
      Uryupina, Olga  and
      Zhang, Yuchen",
    booktitle = "Joint Conference on {EMNLP} and {C}o{NLL} - Shared Task",
    month = jul,
    year = "2012",
    address = "Jeju Island, Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W12-4501",
    pages = "1--40",
}

@inproceedings{corbon-2017,
    title = "{CORBON} 2017 Shared Task: Projection-Based Coreference Resolution",
    author = "Grishina, Yulia",
    booktitle = "Proceedings of the 2nd Workshop on Coreference Resolution Beyond {O}nto{N}otes ({CORBON} 2017)",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W17-1507",
    doi = "10.18653/v1/W17-1507",
    pages = "51--55",
    abstract = "The CORBON 2017 Shared Task, organised as part of the Coreference Resolution Beyond OntoNotes workshop at EACL 2017, presented a new challenge for multilingual coreference resolution: we offer a projection-based setting in which one is supposed to build a coreference resolver for a new language exploiting little or even no knowledge of it, with our languages of interest being German and Russian. We additionally offer a more traditional setting, targeting the development of a multilingual coreference resolver without any restrictions on the resources and methods used. In this paper, we describe the task setting and provide the results of one participant who successfully completed the task, comparing their results to the closely related previous research. Analysing the task setting and the results, we discuss the major challenges and make suggestions on the future directions of coreference evaluation.",
}

@inproceedings{grishina-stede-2015-knowledge,
    title = "Knowledge-lean projection of coreference chains across languages",
    author = "Grishina, Yulia  and
      Stede, Manfred",
    booktitle = "Proceedings of the Eighth Workshop on Building and Using Comparable Corpora",
    month = jul,
    year = "2015",
    address = "Beijing, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W15-3403",
    doi = "10.18653/v1/W15-3403",
    pages = "14--22",
}

@proceedings{crac-2020,
    title = {{Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference}},
    editor = "Ogrodniczuk, Maciej  and
      Ng, Vincent  and
      Grishina, Yulia  and
      Pradhan, Sameer",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (online)",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.crac-1.0",
}

%Englisg tecto-manual
@techreport{trmanEn2005,
Author = {Alena B{\"{o}}hmov{\'a} and Silvie Cinkov{\'a} and Eva
Haji{\v{c}}ov{\'a}},
Title = "{A Manual for Tectogrammatical Layer Annotation of the Prague
Dependency Treebank (English translation)}",
Institution = {{\'U}FAL MFF UK, Prague, Czech Republic},
Year = {2005}
}

%nase knizka o koreferenci a diskurzu
@book{Discourse2015,
title = {Discourse and Coherence. From the Sentence Structure to Relations in Text},
author = {{\v{S}}{\'{a}}rka Zik{\'{a}}nov{\'{a}} and Eva Haji{\v{c}}ov{\'{a}} and Barbora Hladk{\'{a}} and Pavl{\'{i}}na J{\'{i}}nov{\'{a}} and Ji{\v{r}}{\'{i}} M{\'{i}}rovsk{\'{y}} and Anna Nedoluzhko and Lucie Pol{\'{a}}kov{\'{a}} and Kate{\v{r}}ina Rysov{\'{a}} and Magdal{\'{e}}na Rysov{\'{a}} and Jan V{\'{a}}cl},
year = {2015},
publisher = {Charles University in Prague, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics},
organization = {Charles University in Prague, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics},
address = {Praha, Czechia},
series = {Studies in Computational and Theoretical Linguistics},
volume = {14},
isbn = {978-80-904571-8-8},
}

@inproceedings{prasad-etal-2008-penn,
    title = "The {P}enn {D}iscourse {T}ree{B}ank 2.0.",
    author = "Prasad, Rashmi  and
      Dinesh, Nikhil  and
      Lee, Alan  and
      Miltsakaki, Eleni  and
      Robaldo, Livio  and
      Joshi, Aravind  and
      Webber, Bonnie",
    booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC} 2008)",
    month = may,
    year = "2008",
    address = "Marrakech, Morocco",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/754_paper.pdf",
    abstract = "We present the second version of the Penn Discourse Treebank, PDTB-2.0, describing its lexically-grounded annotations of discourse relations and their two abstract object arguments over the 1 million word Wall Street Journal corpus. We describe all aspects of the annotation, including (a) the argument structure of discourse relations, (b) the sense annotation of the relations, and (c) the attribution of discourse relations and each of their arguments. We list the differences between PDTB-1.0 and PDTB-2.0. We present representative statistics for several aspects of the annotation in the corpus.",
}


@misc{pdt20,
  author = {Jan Haji{\v{c}} and others},
  title = {{Prague Dependency Treebank 2.0}},
  howpublished = {CD-ROM, Linguistic Data Consortium, LDC Catalog No.: LDC2006T01, Philadelphia},
  year = {2006}
}

@techreport{ParCorFull_guidelines,
Author = {Ekaterina Lapshinova-Koltunski and Christian Hardmeier},
Title = {Coreference Corpus Annotation Guidelines},
Institution = {Saarland University},
Year = {2018}
}

@inproceedings{ding-palmer-2004,
  title={Automatic learning of parallel dependency treelet pairs},
  author={Ding, Yuan and Palmer, Martha},
  booktitle={International Conference on Natural Language Processing},
  pages={233--243},
  year={2004},
  organization={Springer}
}

@inproceedings{treex-cr,
  author    = {Michal Novák},
  year      = 2017,
  title     = {{Coreference Resolution System Not Only for Czech}},
  booktitle = {Proceedings of the 17th conference ITAT 2017: Slovenskočeský NLP workshop (SloNLP 2017)},
  pages     = {193--200},
  publisher = {CreateSpace Independent Publishing Platform},
  address   = {Praha, Czechia},
  isbn      = {978-1974274741},
}

@inproceedings{ng-cardie-2002-improving,
    title = "Improving Machine Learning Approaches to Coreference Resolution",
    author = "Ng, Vincent  and
      Cardie, Claire",
    booktitle = "Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2002",
    address = "Philadelphia, Pennsylvania, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P02-1014",
    doi = "10.3115/1073083.1073102",
    pages = "104--111",
}

@inproceedings{bergsma-lin-2006-bootstrapping,
    title = "Bootstrapping Path-Based Pronoun Resolution",
    author = "Bergsma, Shane  and
      Lin, Dekang",
    booktitle = "Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2006",
    address = "Sydney, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P06-1005",
    doi = "10.3115/1220175.1220180",
    pages = "33--40",
}

@inproceedings{clark-manning-2015-entity,
    title = "Entity-Centric Coreference Resolution with Model Stacking",
    author = "Clark, Kevin  and
      Manning, Christopher D.",
    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = jul,
    year = "2015",
    address = "Beijing, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P15-1136",
    doi = "10.3115/v1/P15-1136",
    pages = "1405--1415",
}

@inproceedings{lee-etal-2018-higher,
    title = "Higher-Order Coreference Resolution with Coarse-to-Fine Inference",
    author = "Lee, Kenton  and
      He, Luheng  and
      Zettlemoyer, Luke",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/N18-2108",
    doi = "10.18653/v1/N18-2108",
    pages = "687--692",
    abstract = "We introduce a fully-differentiable approximation to higher-order inference for coreference resolution. Our approach uses the antecedent distribution from a span-ranking architecture as an attention mechanism to iteratively refine span representations. This enables the model to softly consider multiple hops in the predicted clusters. To alleviate the computational cost of this iterative process, we introduce a coarse-to-fine approach that incorporates a less accurate but more efficient bilinear factor, enabling more aggressive pruning without hurting accuracy. Compared to the existing state-of-the-art span-ranking approach, our model significantly improves accuracy on the English OntoNotes benchmark, while being far more computationally efficient.",
}

@inproceedings{wu-etal-2020-corefqa,
    title = "{C}oref{QA}: Coreference Resolution as Query-based Span Prediction",
    author = "Wu, Wei  and
      Wang, Fei  and
      Yuan, Arianna  and
      Wu, Fei  and
      Li, Jiwei",
    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://www.aclweb.org/anthology/2020.acl-main.622",
    doi = "10.18653/v1/2020.acl-main.622",
    pages = "6953--6963",
    abstract = "In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in question answering: A query is generated for each candidate mention using its surrounding context, and a span prediction module is employed to extract the text spans of the coreferences within the document using the generated query. This formulation comes with the following key advantages: (1) The span prediction strategy provides the flexibility of retrieving mentions left out at the mention proposal stage; (2) In the question answering framework, encoding the mention and its context explicitly in a query makes it possible to have a deep and thorough examination of cues embedded in the context of coreferent mentions; and (3) A plethora of existing question answering datasets can be used for data augmentation to improve the model{'}s generalization capability. Experiments demonstrate significant performance boost over previous models, with 83.1 (+3.5) F1 score on the CoNLL-2012 benchmark and 87.5 (+2.5) F1 score on the GAP benchmark.",
}

@inproceedings{hewitt-manning-2019-structural,
    title = "{A} Structural Probe for Finding Syntax in Word Representations",
    author = "Hewitt, John  and
      Manning, Christopher D.",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/N19-1419",
    doi = "10.18653/v1/N19-1419",
    pages = "4129--4138",
    abstract = "Recent work has improved our ability to detect linguistic knowledge in word representations. However, current methods for detecting syntactic knowledge do not test whether syntax trees are represented in their entirety. In this work, we propose a structural probe, which evaluates whether syntax trees are embedded in a linear transformation of a neural network{'}s word representation space. The probe identifies a linear transformation under which squared L2 distance encodes the distance between words in the parse tree, and one in which squared L2 norm encodes depth in the parse tree. Using our probe, we show that such transformations exist for both ELMo and BERT but not in baselines, providing evidence that entire syntax trees are embedded implicitly in deep models{'} vector geometry.",
}

@inproceedings{limisiewicz-etal-2020-universal,
    title = "{U}niversal {D}ependencies {A}ccording to {BERT}: {B}oth {M}ore {S}pecific and {M}ore {G}eneral",
    author = "Limisiewicz, Tomasz  and
      Mare{\v{c}}ek, David  and
      Rosa, Rudolf",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.245",
    doi = "10.18653/v1/2020.findings-emnlp.245",
    pages = "2710--2722",
    abstract = "This work focuses on analyzing the form and extent of syntactic abstraction captured by BERT by extracting labeled dependency trees from self-attentions. Previous work showed that individual BERT heads tend to encode particular dependency relation types. We extend these findings by explicitly comparing BERT relations to Universal Dependencies (UD) annotations, showing that they often do not match one-to-one. We suggest a method for relation identification and syntactic tree construction. Our approach produces significantly more consistent dependency trees than previous work, showing that it better explains the syntactic abstractions in BERT. At the same time, it can be successfully applied with only a minimal amount of supervision and generalizes well across languages.",
}

@article{osborne2012catenae,
  title={Catenae: Introducing a novel unit of syntactic analysis},
  author={Osborne, Timothy and Putnam, Michael and Gro{\ss}, Thomas},
  journal={Syntax},
  volume={15},
  number={4},
  pages={354--396},
  year={2012},
  publisher={Wiley Online Library}
}

@inproceedings{finkel-manning-2009,
  author    = {Finkel, Jenny Rose and Manning, Christopher D.},
  title     = {Joint parsing and named entity recognition},
  booktitle = {Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
  pages     = {326--334},
  publisher = {Association for Computational Linguistics},
  year      = {2009}
}

@inproceedings{elsner2010same,
  title={The same-head heuristic for coreference},
  author={Elsner, Micha and Charniak, Eugene},
  booktitle={Proceedings of the ACL 2010 Conference Short Papers},
  pages={33--37},
  year={2010}
}

@inproceedings{wiseman2016learning,
    title = "{Learning Global Features for Coreference Resolution}",
    author = "Wiseman, Sam  and
      Rush, Alexander M.  and
      Shieber, Stuart M.",
    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/N16-1114",
    doi = "10.18653/v1/N16-1114",
    pages = "994--1004",
}

@article{sgall1998teorie,
  title={Teorie valence a jej{\'\i} form{\'a}ln{\'\i} zpracov{\'a}n{\'\i}},
  author={Sgall, Petr},
  journal={Slovo a slovesnost},
  volume={59},
  number={1},
  pages={15--29},
  year={1998}
}

@inproceedings{2021findings,
    title = "Do {UD} Trees Match Mention Spans in Coreference Annotations?",
    author = "Popel, Martin  and
      {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Nedoluzhko, Anna  and
      Nov{\'a}k, Michal  and
      Zeman, Daniel",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-emnlp.303",
    doi = "10.18653/v1/2021.findings-emnlp.303",
    pages = "3570--3576",
}


@inproceedings{coordination2013,
  author    = {Martin Popel and David Mareček and Jan Štěpánek and Daniel Zeman and Zdeněk Žabokrtský},
  year      = 2013,
  title     = {Coordination Structures in Dependency Treebanks},
  booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics},
  pages     = {517--527},
  publisher = {Association for Computational Linguistics},
  address   = {Sofija, Bulgaria},
  isbn      = {978-1-937284-50-3},
}

@inproceedings{kromann2003danish,
  title={{Danish Dependency Treebank}},
  author={Kromann, Matthias T. and Mikkelsen, Line and Lynge, Stine Kern},
  booktitle={Proceedings of the Second Workshop on Treebanks and Linguistic Theories},
  pages={217--220},
  year={2003},
}

@inproceedings{peng2015joint,
  title={A joint framework for coreference resolution and mention head detection},
  author={Peng, Haoruo and Chang, Kai-Wei and Roth, Dan},
  booktitle={Proceedings of the Nineteenth Conference on Computational Natural Language Learning},
  pages={12--21},
  year={2015}
}

@inproceedings{syntagrus,
  author    = {Kira Droganova and Olga Lyashevskaya and Daniel Zeman},
  year      = 2018,
  title     = {{Data Conversion and Consistency of Monolingual Corpora: Russian UD Treebanks}},
  booktitle = {Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018)},
  pages     = {53--66},
  publisher = {Linköping University Electronic Press},
  address   = {Linköping, Sweden},
  isbn      = {978-91-7685-137-1},
}

@inproceedings{bouma-van-noord-2017-increasing,
    title = "Increasing Return on Annotation Investment: The Automatic Construction of a {U}niversal {D}ependency Treebank for {D}utch",
    author = "Bouma, Gosse  and
      van Noord, Gertjan",
    booktitle = "Proceedings of the {N}o{D}a{L}i{D}a 2017 Workshop on Universal Dependencies ({UDW} 2017)",
    month = may,
    year = "2017",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-0403",
    pages = "19--26",
}

@Book{pat:prz:18:book,
      author =       {Agnieszka Patejuk and Adam Przepiórkowski},
      title =        {From {L}exical {F}unctional {G}rammar to Enhanced {U}niversal {D}ependencies: Linguistically informed treebanks of {P}olish},
      publisher =    {Institute of Computer Science, Polish Academy of Sciences},
      year =         2018,
      address =      {Warsaw},
      url =          {http://nlp.ipipan.waw.pl/Bib/pat:prz:18:book.pdf}}

@article{ZeldesScope,
  author       = {Amir Zeldes},
  title        = {Can we Fix the Scope for Coreference? {P}roblems and Solutions for Benchmarks beyond {OntoNotes}},
  journal = {Dialogue \& Discourse},
  url          = {https://arxiv.org/abs/2112.09742},
  year         = {2022},
  volume = {13},
  number = {1},
  pages = {41--62},
  doi = {https://doi.org/10.5210/dad.2022.102},
  url = {https://journals.uic.edu/ojs/index.php/dad/article/view/11706}
}

@inproceedings{petrov-etal-2012-universal,
    title = "A Universal Part-of-Speech Tagset",
    author = "Petrov, Slav  and
      Das, Dipanjan  and
      McDonald, Ryan",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC} 2012)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf",
    pages = "2089--2096",
}


@article{UDMarneffeEtAl2021,
    author = {de Marneffe, Marie-Catherine and Manning, Christopher D. and Nivre, Joakim and Zeman, Daniel},
    title = "{Universal {D}ependencies}",
    journal = {Computational Linguistics},
    volume = {47},
    number = {2},
    pages = {255--308},
    year = {2021},
    doi = {10.1162/coli_a_00402},
    url = {https://doi.org/10.1162/coli\_a\_00402},
}


@InProceedings{YimamEtAl2013webanno,
  author    = {Seid Muhie Yimam and Iryna Gurevych and Richard Eckart de Castilho and Chris Biemann},
  title     = {{WebAnno}: A Flexible, Web-based and Visually Supported System for Distributed Annotations},
  booktitle = {Proceedings of ACL 2013},
  year      = {2013},
  pages     = {1--6},
  address   = {Sofia, Bulgaria},
}

@InProceedings{ZhangZeldes2017gitdox,
  author    = {Shuo Zhang and Amir Zeldes},
  title     = {{GitDOX}: A Linked Version Controlled Online {XML} Editor for Manuscript Transcription},
  booktitle = {Proceedings of FLAIRS-30},
  year      = {2017},
  pages     = {619--623},
  address   = {Marco Island, FL},
}


@inproceedings{pravzak2021multilingual,
  title={{Multilingual Coreference Resolution with Harmonized Annotations}},
  author={Pra{\v{z}}{\'a}k, Ond{\v{r}}ej and Konop{\'\i}k, Miloslav and Sido, Jakub},
  booktitle={Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)},
  pages={1119--1123},
  year={2021},
  url = "https://aclanthology.org/2021.ranlp-1.125",
}


@article{Reinhart1983CoreferenceAB,
  title={Coreference and bound anaphora: A restatement of the anaphora questions},
  author={Tanya Reinhart},
  journal={Linguistics and Philosophy},
  year={1983},
  volume={6},
  pages={47--88}
}

%%%%%% state-of-the-art CR %%%%%%
@article{joshi-etal-2020-spanbert,
    title = {{{S}pan{BERT}: Improving Pre-training by Representing and Predicting Spans}},
    author = "Joshi, Mandar  and
      Chen, Danqi  and
      Liu, Yinhan  and
      Weld, Daniel S.  and
      Zettlemoyer, Luke  and
      Levy, Omer",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "8",
    year = "2020",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/2020.tacl-1.5",
    doi = "10.1162/tacl_a_00300",
    pages = "64--77",
    abstract = "We present SpanBERT, a pre-training method that is designed to better represent and predict spans of text. Our approach extends BERT by (1) masking contiguous random spans, rather than random tokens, and (2) training the span boundary representations to predict the entire content of the masked span, without relying on the individual token representations within it. SpanBERT consistently outperforms BERT and our better-tuned baselines, with substantial gains on span selection tasks such as question answering and coreference resolution. In particular, with the same training data and model size as BERTlarge, our single model obtains 94.6{\%} and 88.7{\%} F1 on SQuAD 1.1 and 2.0 respectively. We also achieve a new state of the art on the OntoNotes coreference resolution task (79.6{\%} F1), strong performance on the TACRED relation extraction benchmark, and even gains on GLUE.1",
}

@inproceedings{kirstain-etal-2021-coreference,
    title = "Coreference Resolution without Span Representations",
    author = "Kirstain, Yuval  and
      Ram, Ori  and
      Levy, Omer",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-short.3",
    doi = "10.18653/v1/2021.acl-short.3",
    pages = "14--19",
    abstract = "The introduction of pretrained language models has reduced many complex task-specific NLP models to simple lightweight layers. An exception to this trend is coreference resolution, where a sophisticated task-specific model is appended to a pretrained transformer encoder. While highly effective, the model has a very large memory footprint {--} primarily due to dynamically-constructed span and span-pair representations {--} which hinders the processing of complete documents and the ability to train on multiple instances in a single batch. We introduce a lightweight end-to-end coreference model that removes the dependency on span representations, handcrafted features, and heuristics. Our model performs competitively with the current standard model, while being simpler and more efficient.",
}

@inproceedings{dobrovolskii-2021-word-duplicate,
    title = "Word-Level Coreference Resolution",
    author = "Dobrovolskii, Vladimir",
    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.605",
    doi = "10.18653/v1/2021.emnlp-main.605",
    pages = "7670--7675",
    abstract = "Recent coreference resolution models rely heavily on span representations to find coreference links between word spans. As the number of spans is $O(n^2)$ in the length of text and the number of potential links is $O(n^4)$, various pruning techniques are necessary to make this approach computationally feasible. We propose instead to consider coreference links between individual words rather than word spans and then reconstruct the word spans. This reduces the complexity of the coreference model to $O(n^2)$ and allows it to consider all potential mentions without pruning any of them out. We also demonstrate that, with these changes, SpanBERT for coreference resolution will be significantly outperformed by RoBERTa. While being highly efficient, our model performs competitively with recent coreference resolution systems on the OntoNotes benchmark.",
}


@inproceedings{onehead-depling,
  author    = {Anna Nedoluzhko and Michal Novák and Martin Popel and Zdeněk Žabokrtský and Daniel Zeman},
  year      = 2021,
  title     = {{Is one head enough? Mention heads in coreference annotations compared with UD-style heads}},
  booktitle = {Proceedings of the Sixth International Conference on Dependency Linguistics (Depling, SyntaxFest 2021)},
  pages     = {101--114},
  publisher = {Association for Computational Linguistics},
  address   = {Stroudsburg, PA, USA},
  isbn      = {978-1-955917-14-8},
}

@article{kunz-lapshinova.2015,
author = {Kunz, Kerstin and Lapshinova-Koltunski, Ekaterina},
year = {2015},
month = {03},
pages = {258-288},
title = {Cross-linguistic analysis of discourse variation across registers},
volume = {14},
journal = {Nordic Journal of English Studies},
doi = {10.35360/njes.347}
}

@article{ novak-discours,
journal = {Discours: Revue de linguistique, psycholinguistique et informatique.},
title = {{Correspondences between Czech and English Coreferential Expressions}},
author = {Michal Nov{\'{a}}k and Anna Nedoluzhko},
year = {2015},
address = {Caen, France},
volume = {16},
pages = {1--41},
}

@InCollection{LuedelingRitzStedeEtAl2016,
  author    = {Anke L\"{u}deling and Julia Ritz and Manfred Stede and Amir Zeldes},
  title     = {{Corpus Linguistics and Information Structure Research}},
  booktitle = {The Oxford Handbook of Information Structure},
  publisher = {Oxford University Press},
  year      = {2016},
  editor    = {Caroline F\'{e}ry and Shinichiro Ichihara},
  pages     = {599--617},
}

@inproceedings{buchholz2006conll,
  title={{CoNLL-X} {S}hared {T}ask on {M}ultilingual {D}ependency {P}arsing},
  author={Buchholz, Sabine and Marsi, Erwin},
  booktitle={Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)},
  pages={149--164},
  year={2006}
}

@InProceedings{UA-scorer-2022,
  author    = {Yu, Juntao  and  Khosla, Sopan  and  Moosavi, Nafise Sadat  and  Paun, Silviu  and  Pradhan, Sameer  and  Poesio, Massimo},
  title     = {{The Universal Anaphora Scorer}},
  booktitle      = {Proceedings of the Language Resources and Evaluation Conference},
  month          = {June},
  year           = {2022},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {4873--4883},
  abstract  = {The aim of the Universal Anaphora initiative is to push forward the state of the art in anaphora and anaphora resolution by expanding the aspects of anaphoric interpretation which are or can be reliably annotated in anaphoric corpora, producing unified standards to annotate and encode these annotations, deliver datasets encoded according to these standards, and developing methods for evaluating models carrying out this type of interpretation. Such expansion of the scope of anaphora resolution requires a comparable expansion of the scope of the scorers used to evaluate this work. In this paper, we introduce an extended version of the Reference Coreference Scorer (Pradhan et al., 2014) that can be used to evaluate the extended range of anaphoric interpretation included in the current Universal Anaphora proposal. The UA scorer supports the evaluation of identity anaphora resolution and of bridging reference resolution, for which scorers already existed but not integrated in a single package. It also supports the evaluation of split antecedent anaphora and discourse deixis, for which no tools existed. The proposed approach to the evaluation of split antecedent anaphora is entirely novel; the proposed approach to the evaluation of discourse deixis leverages the encoding of discourse deixis proposed in Universal Anaphora to enable the use for discourse deixis of the same metrics already used for identity anaphora. The scorer was tested in the recent CODI-CRAC 2021 Shared Task on Anaphora Resolution in Dialogues.},
  url       = {https://aclanthology.org/2022.lrec-1.521}
}

@inproceedings{MUC-score,
    title = {{A Model-Theoretic Coreference Scoring Scheme}},
    author = "Vilain, Marc  and
      Burger, John  and
      Aberdeen, John  and
      Connolly, Dennis  and
      Hirschman, Lynette",
    booktitle = "Sixth Message Understanding Conference ({MUC}-6): Proceedings of a Conference Held in {C}olumbia, {M}aryland, November 6-8, 1995",
    year = "1995",
    url = "https://aclanthology.org/M95-1005",
}


@inproceedings{Bcubed-score,
	title = {{Algorithms for Scoring Coreference Chains}},
	abstract = {Scoring the performance of a system is an extremely important aspect of coreference algorithm performance. The score for a particular run is the single strongest measure of how well the system is performing and it can strongly determine directions for further improvements. In this paper, we present several different scoring algorithms and detail their respective strengths and weaknesses for varying classes of processing. We also demonstrate that tasks like information extraction have very different needs from information retrieval in terms of how to score the performance of coreference annotation.  Introduction  Scoring the performance of a system is an extremely important aspect of coreference algorithm performance. The score for a particular run is the single strongest measure of how well the system is performing and it can strongly determine directions for further improvements. In this paper, we present several different scoring algorithms and detail their respective strengths and w...},
	pages = {563--566},
	booktitle = {Proceedings of The First International Conference on Language Resources and Evaluation Workshop on Linguistics Coreference},
	author = {Bagga, Amit and Baldwin, Breck},
	year = {1998},
	keywords = {coreference evaluation},
}


@inproceedings{CEAF-score,
	location = {Stroudsburg, {PA}, {USA}},
	title = {On Coreference Resolution Performance Metrics},
	url = {http://dx.doi.org/10.3115/1220575.1220579},
	doi = {10.3115/1220575.1220579},
	series = {{HLT} 2005},
	abstract = {The paper proposes a Constrained Entity-Alignment F-Measure ({CEAF}) for evaluating coreference resolution. The metric is computed by aligning reference and system entities (or coreference chains) with the constraint that a system (reference) entity is aligned with at most one reference (system) entity. We show that the best alignment is a maximum bipartite matching problem which can be solved by the Kuhn-Munkres algorithm. Comparative experiments are conducted to show that the widely-known {MUC} F-measure has serious flaws in evaluating a coreference system. The proposed metric is also compared with the {ACE}-Value, the official evaluation metric in the Automatic Content Extraction ({ACE}) task, and we conclude that the proposed metric possesses some properties such as symmetry and better interpretability missing in the {ACE}-Value.},
	pages = {25--32},
	booktitle = {Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing},
	publisher = {Association for Computational Linguistics},
	author = {Luo, Xiaoqiang},
	urldate = {2017-02-08},
	year = {2005},
	keywords = {coreference evaluation},
	file = {ACM Full Text PDF:/home/mnovak/Zotero/storage/ANG97UJQ/Luo - 2005 - On Coreference Resolution Performance Metrics.pdf:application/pdf},
}


@article{OLD-CoNLL-MELA-score,
	title = {Global joint models for coreference resolution and named entity classification},
	abstract = {This paper combines models for coreference, anaphoricity and named entity classication for lineal Entera and shows good results in terms of consistency and efficiency. on Lineal Entera ({ILP}) Abstract: In this paper, we combine models for coreference, anaphoricity and named entity classication},
	journal = {Procesamiento del Lenguaje Natural},
	author = {Denis, Pascal and Baldridge, Jason},
     pages = "87--96",
    number = 42,
	year = {2009},
}


@article{CoNLL-MELA-score,
  title={Global joint models for coreference resolution and named entity classification},
  author={Denis, Pascal and Baldridge, Jason},
  journal={Procesamiento del lenguaje natural},
  volume={42},
  year={2009}
}



@article{BLANC-score,
	title = {{{BLANC}: Implementing the Rand index for coreference evaluation}},
	volume = {17},
	url = {https://doi.org/10.1017/S135132491000029X},
	doi = {10.1017/S135132491000029X},
	pages = {485--510},
	number = {4},
	journal = {Natural Language Engineering},
	author = {Recasens, Marta and Hovy, Eduard H.},
	year = {2011},
     publisher={Cambridge University Press}
}

@inproceedings{LEA-score,
    title = {{Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric}},
    author = "Moosavi, Nafise Sadat  and
      Strube, Michael",
    booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P16-1060",
    doi = "10.18653/v1/P16-1060",
    pages = "632--642",
}

@article{DBLP:journals/corr/abs-1810-04805,
  author    = {Jacob Devlin and
               Ming{-}Wei Chang and
               Kenton Lee and
               Kristina Toutanova},
  title     = {{BERT:} Pre-training of Deep Bidirectional Transformers for Language
               Understanding},
  journal   = {CoRR},
  volume    = {abs/1810.04805},
  year      = {2018},
  url       = {http://arxiv.org/abs/1810.04805},
  archivePrefix = {arXiv},
  eprint    = {1810.04805},
  timestamp = {Tue, 30 Oct 2018 20:39:56 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1810-04805.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{udapi,
  author    = {Martin Popel and Zdeněk Žabokrtský and Martin Vojtek},
  year      = 2017,
  title     = {{Udapi: Universal API for Universal Dependencies}},
  booktitle = {NoDaLiDa 2017 Workshop on Universal Dependencies},
  pages     = {96--101},
  publisher = {Göteborgs universitet},
  address   = {Göteborg, Sweden},
  isbn      = {978-91-7685-501-0},
}

@inproceedings{przepiorkowski-etal-2008-towards,
    title = "Towards the {N}ational {C}orpus of {P}olish",
    author = "Przepi{\'o}rkowski, Adam  and
      G{\'o}rski, Rafa{\l} L.  and
      Lewandowska-Tomaszyk, Barbara  and
      {\L}azi{\'n}ski, Marek",
    booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC} 2008)",
    month = may,
    year = "2008",
    address = "Marrakech, Morocco",
    publisher = "European Language Resources Association",
    url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/211_paper.pdf",
    abstract = "This paper presents a new corpus project, aiming at building a national corpus of Polish. What makes it different from a typical YACP (Yet Another Corpus Project) is 1) the fact that all four partners in the project have in the past constructed corpora of Polish, sometimes in the spirit of collaboration, at other times - in the spirit of competition, 2) the partners bring into the project varying areas of expertise and experience, so the synergy effect is anticipated, 3) the corpus will be built with an eye on specific applications in various fields, including lexicography (the corpus will be the empirical basis of a new large general dictionary of Polish) and natural language processing (a number of NLP tools will be constructed within the project).",
}


%%%%%%%%%%% system descriptions papers from the workshop

@inproceedings{sharedtask-findings,
  author =  {Zdeněk Žabokrtský, Miloslav Konopík, Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk, Martin Popel, Ondřej Pražák, Jakub Sido, Daniel Zeman, Yilun Zhu},
  title =  {{Findings of the Shared Task on Multilingual Coreference Resolution}},
  booktitle =    "Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution",
  publisher =    {Association for Computational Linguistics},
  url = "https://aclanthology.org/2022.crac-mcr.1/",
  year =         {2022},
}

@inproceedings{sharedtask-prazak,
  author =  {Ondřej Pražák and Miloslav Konopík},
  title =  {{End-to-end Multilingual Coreference Resolution with Mention Head Prediction}},
  booktitle =    "Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution",
  publisher =    {Association for Computational Linguistics},
  year =         {2022},
  pages = "23--27",
  url = "https://aclanthology.org/2022.crac-mcr.3",
}

@inproceedings{sharedtask-saputa,
  author =  { Karol Saputa },
  title =  {{Coreference Resolution for Polish and Beyond: Description of the Herferencer System for the CRAC 2022 Shared Task on Multilingual Coreference Resolution}},
  booktitle =    "Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution",
  publisher =    {Association for Computational Linguistics},
  year =         {2022},
}

@inproceedings{sharedtask-straka-2022,
  author =  { Milan Straka and Jana Straková },
  title =  {{ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution}},
  booktitle =    "Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution",
  publisher =    {Association for Computational Linguistics},
  year =         {2022},
  pages = "28--37",
  url = "https://aclanthology.org/2022.crac-mcr.4",
}

@article{rembert,
  author    = {Hyung Won Chung and
               Thibault F{\'{e}}vry and
               Henry Tsai and
               Melvin Johnson and
               Sebastian Ruder},
  title     = {Rethinking embedding coupling in pre-trained language models},
  journal   = {CoRR},
  volume    = {abs/2010.12821},
  year      = {2020},
  url       = {https://arxiv.org/abs/2010.12821},
  eprinttype = {arXiv},
  eprint    = {2010.12821},
  timestamp = {Mon, 02 Nov 2020 18:17:09 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2010-12821.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{xlm-roberta,
  author    = {Alexis Conneau and
               Kartikay Khandelwal and
               Naman Goyal and
               Vishrav Chaudhary and
               Guillaume Wenzek and
               Francisco Guzm{\'{a}}n and
               Edouard Grave and
               Myle Ott and
               Luke Zettlemoyer and
               Veselin Stoyanov},
  title     = {{Unsupervised Cross-lingual Representation Learning at Scale}},
  journal   = {CoRR},
  volume    = {abs/1911.02116},
  year      = {2019},
  url       = {http://arxiv.org/abs/1911.02116},
  eprinttype = {arXiv},
  eprint    = {1911.02116},
  timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{pamayEacl2023,
  title={{Incorporating Dropped Pronouns into Coreference Resolution: The case for Turkish}},
  author={Pamay Arslan, Tu{\u{g}}ba  and Eryi{\u{g}}it, G{\"u}l{\c{s}}en},
  booktitle={Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop},
  doi = "10.18653/v1/2023.eacl-srw.2",
  pages={14--25},
  year={2023}
}

@inproceedings{tugba-this-volume,
        title        = {{Neural End-to-End Coreference Resolution using Morphological Information}},
        author       = {Pamay Arslan, Tu{\u{g}}ba and Kutay Acar and Gülşen Eryiğit},
        year         = 2023,
        booktitle    = {Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution},
        editor = "Zdeněk Žabokrtský and Maciej Ogrodniczuk",
        pages = "34--40",
}

@inproceedings{sharedtask-straka-2023,
        title        = {{ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution}},
        author       = {Milan Straka},
        year         = 2023,
        booktitle    = {Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution},
        editor = "Zdeněk Žabokrtský and Maciej Ogrodniczuk",
        pages = "41--51",
}



@inproceedings{mcgill-this-volume,
        title        = {{McGill at CRAC 2023: Multilingual Generalization of Entity-Ranking Coreference Resolution Models}},
        author       = {Ian Porada and Jackie Chi Kit Cheung},
        year         = 2023,
        booktitle    = {Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution},
        editor = "Zdeněk Žabokrtský and Maciej Ogrodniczuk",
        pages = "52--57",
}

@inproceedings{oursharedtask2022,
  title     = {{Findings of the Shared Task on Multilingual Coreference Resolution}},
  author = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
    Konop{\'\i}k, Miloslav  and
    Nedoluzhko, Anna  and
    Nov{\'a}k, Michal  and
    Ogrodniczuk, Maciej  and
    Popel, Martin  and
    Pra{\v{z}}{\'a}k, Ond{\v{r}}ej  and
    Sido, Jakub  and
    Zeman, Daniel  and
    Zhu, Yilun",
  booktitle = {Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution},
  year      = 2022,
  url       = "https://aclanthology.org/2022.crac-mcr.1/",
  pages     = {1--17},
  publisher = {Association for Computational Linguistics},
  address   = {Gyeongju, Korea},
}

@inproceedings{oursharedtask2023,
    title = {{Findings of the Second Shared Task on Multilingual Coreference Resolution}},
    author = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Konop{\'\i}k, Miloslav  and
      Nedoluzhko, Anna  and
      Nov{\'a}k, Michal  and
      Ogrodniczuk, Maciej  and
      Popel, Martin  and
      Pra{\v{z}}{\'a}k, Ond{\v{r}}ej  and
      Sido, Jakub  and
      Zeman, Daniel",
    editor = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.crac-sharedtask.1",
    doi = "10.18653/v1/2023.crac-sharedtask.1",
    pages = "1--18",
    abstract = "This paper summarizes the second edition of the shared task on multilingual coreference resolution, held with the CRAC 2023 workshop. Just like last year, participants of the shared task were to create trainable systems that detect mentions and group them based on identity coreference; however, this year{'}s edition uses a slightly different primary evaluation score, and is also broader in terms of covered languages: version 1.1 of the multilingual collection of harmonized coreference resources CorefUD was used as the source of training and evaluation data this time, with 17 datasets for 12 languages. 7 systems competed in this shared task.",
}

@inproceedings{oursharedtask2024,
    title = "Findings of the Third Shared Task on Multilingual Coreference Resolution",
    author = "Nov{\'a}k, Michal  and
      Dohnalov{\'a}, Barbora  and
      Konopik, Miloslav  and
      Nedoluzhko, Anna  and
      Popel, Martin  and
      Prazak, Ondrej  and
      Sido, Jakub  and
      Straka, Milan  and
      {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Zeman, Daniel",
    editor = "Ogrodniczuk, Maciej  and
      Nedoluzhko, Anna  and
      Poesio, Massimo  and
      Pradhan, Sameer  and
      Ng, Vincent",
    booktitle = "Proceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = nov,
    year = "2024",
    address = "Miami",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.crac-1.8/",
    doi = "10.18653/v1/2024.crac-1.8",
    pages = "78--96"
}

@inproceedings{oursharedtask2025,
    title = "Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can {LLM}s Dethrone Traditional Approaches?",
    author = "Nov{\'a}k, Michal  and
      Konopik, Miloslav  and
      Nedoluzhko, Anna  and
      Popel, Martin  and
      Prazak, Ondrej  and
      Sido, Jakub  and
      Straka, Milan  and
      {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Zeman, Daniel",
    editor = "Ogrodniczuk, Maciej  and
      Novak, Michal  and
      Poesio, Massimo  and
      Pradhan, Sameer  and
      Ng, Vincent",
    booktitle = "Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.crac-1.9/",
    doi = "10.18653/v1/2025.crac-1.9",
    pages = "95--118"
}

@inproceedings{korkor_coling,
  author    = {Vad{\'a}sz, No{\'e}mi},
  title     = {{Building a Manually Annotated {H}ungarian Coreference Corpus: Workflow and Tools}},
  booktitle = {Proceedings of the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference},
  month     = {oct},
  year      = {2022},
  address   = {Gyeongju, Korea},
  publisher = {Association for Computational Linguistics},
  url       = {https://aclanthology.org/2022.crac-1.5/},
  pages     = {38--47}
}

@inproceedings{maehlum2022narc,
  author    = {M{\ae}hlum, Petter and Haug, Dag and J{\o}rgensen, Tollef and K{\aa}sen, Andre and N{\o}klestad, Anders and R{\o}nningstad, Egil and Solberg, Per Erik and Velldal, Erik and {\O}vrelid, Lilja},
  title     = {{NARC}--{N}orwegian Anaphora Resolution Corpus},
  booktitle = {Proceedings of the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference},
  month     = {oct},
  year      = {2022},
  address   = {Gyeongju, Korea},
  publisher = {Association for Computational Linguistics},
  url       = {https://aclanthology.org/2022.crac-1.6/},
  pages     = {48--60}
}

@inproceedings{pamay2018coref,
  author    = {Pamay, Tu{\u{g}}ba and Eryi{\u{g}}it, G{\"u}l{\c{s}}en},
  title     = {{Turkish Coreference Resolution}},
  booktitle = {2018 Innovations in Intelligent Systems and Applications (INISTA)},
  year      = {2018},
  pages     = {1--7},
  doi={10.1109/INISTA.2018.8466293}},
  organization = {IEEE}
}
@inproceedings{ua-scorer-2.0,
    title = {{The Universal Anaphora Scorer 2.0}},
    author = "Yu, Juntao  and
      Nov{\'a}k, Michal  and
      Aloraini, Abdulrahman  and
      Moosavi, Nafise Sadat  and
      Paun, Silviu  and
      Pradhan, Sameer  and
      Poesio, Massimo",
    editor = "Amblard, Maxime  and
      Breitholtz, Ellen",
    booktitle = "Proceedings of the 15th International Conference on Computational Semantics",
    month = jun,
    year = "2023",
    address = "Nancy, France",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.iwcs-1.19",
    pages = "183--194",
    abstract = "The aim of the Universal Anaphora initiative is to push forward the state of the art both in anaphora (coreference) annotation and in the evaluation of models for anaphora resolution. The first release of the Universal Anaphora Scorer (Yu et al., 2022b) supported the scoring not only of identity anaphora as in the Reference Coreference Scorer (Pradhan et al., 2014) but also of split antecedent anaphoric reference, bridging references, and discourse deixis. That scorer was used in the CODI-CRAC 2021/2022 Shared Tasks on Anaphora Resolution in Dialogues (Khosla et al., 2021; Yu et al., 2022a). A modified version of the scorer supporting discontinuous markables and the COREFUD markup format was also used in the CRAC 2022 Shared Task on Multilingual Coreference Resolution (Zabokrtsky et al., 2022). In this paper, we introduce the second release of the scorer, merging the two previous versions, which can score reference with discontinuous markables and zero anaphora resolution.",
}
@inproceedings{prazak-konopik-2022-end,
    title = "End-to-end Multilingual Coreference Resolution with Mention Head Prediction",
    author = "Pra{\v{z}}{\'a}k, Ond{\v{r}}ej  and
      Konopik, Miloslav",
    editor = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the CRAC 2022 Shared Task on Multilingual Coreference Resolution",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.crac-mcr.3",
    pages = "23--27",
    abstract = "This paper describes our approach to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Our model is based on a state-of-the-art end-to-end coreference resolution system. Apart from joined multilingual training, we improved our results with mention head prediction. We also tried to integrate dependency information into our model. Our system ended up in third place. Moreover, we reached the best performance on two datasets out of 13.",
}

@article{pamayTurkishCR24,
author = {Pamay, Tuğba and Eryiğit, Gülşen},
year = {2024},
month = {06},
title = {{Enhancing Turkish Coreference Resolution: Insights from deep learning, dropped pronouns, and multilingual transfer learning}},
volume = {89},
journal = {Computer Speech \& Language},
doi = {10.1016/j.csl.2024.101681}
}

@misc{le_are_2023,
	title = {Are {Large} {Language} {Models} {Robust} {Coreference} {Resolvers}?},
	url = {http://arxiv.org/abs/2305.14489},
	doi = {10.48550/arXiv.2305.14489},
	abstract = {Recent work on extending coreference resolution across domains and languages relies on annotated data in both the target domain and language. At the same time, pre-trained large language models (LMs) have been reported to exhibit strong zero- and few-shot learning abilities across a wide range of NLP tasks. However, prior work mostly studied this ability using artificial sentence-level datasets such as the Winograd Schema Challenge. In this paper, we assess the feasibility of prompt-based coreference resolution by evaluating instruction-tuned language models on difficult, linguistically-complex coreference benchmarks (e.g., CoNLL-2012). We show that prompting for coreference can outperform current unsupervised coreference systems, although this approach appears to be reliant on high-quality mention detectors. Further investigations reveal that instruction-tuned LMs generalize surprisingly well across domains, languages, and time periods; yet continued fine-tuning of neural models should still be preferred if small amounts of annotated examples are available.},
	urldate = {2025-01-28},
	publisher = {arXiv},
	author = {Le, Nghia T. and Ritter, Alan},
	month = nov,
	year = {2023},
	note = {arXiv:2305.14489 [cs]},
	keywords = {Computer Science - Computation and Language},
}

@inproceedings{saputa_polish_2024,
	address = {Miami},
	title = {Polish {Coreference} {Corpus} as an {LLM} {Testbed}: {Evaluating} {Coreference} {Resolution} within {Instruction}-{Following} {Language} {Models} by {Instruction}–{Answer} {Alignment}},
	shorttitle = {Polish {Coreference} {Corpus} as an {LLM} {Testbed}},
	url = {https://aclanthology.org/2024.crac-1.3/},
	doi = {10.18653/v1/2024.crac-1.3},
	urldate = {2025-01-28},
	booktitle = {Proceedings of {The} {Seventh} {Workshop} on {Computational} {Models} of {Reference}, {Anaphora} and {Coreference}},
	publisher = {Association for Computational Linguistics},
	author = {Saputa, Karol and Peljak-Łapińska, Angelika and Ogrodniczuk, Maciej},
	editor = {Ogrodniczuk, Maciej and Nedoluzhko, Anna and Poesio, Massimo and Pradhan, Sameer and Ng, Vincent},
	month = nov,
	year = {2024},
	pages = {23--32},
}

@inproceedings{hicke_lions_2024,
	address = {St. Julians, Malta},
	title = {[{Lions}: 1] and [{Tigers}: 2] and [{Bears}: 3], {Oh} {My}! {Literary} {Coreference} {Annotation} with {LLMs}},
	shorttitle = {[{Lions}},
	url = {https://aclanthology.org/2024.latechclfl-1.27/},
	abstract = {Coreference annotation and resolution is a vital component of computational literary studies. However, it has previously been difficult to build high quality systems for fiction. Coreference requires complicated structured outputs, and literary text involves subtle inferences and highly varied language. New language-model-based seq2seq systems present the opportunity to solve both these problems by learning to directly generate a copy of an input sentence with markdown-like annotations. We create, evaluate, and release several trained models for coreference, as well as a workflow for training new models.},
	urldate = {2025-01-28},
	booktitle = {Proceedings of the 8th {Joint} {SIGHUM} {Workshop} on {Computational} {Linguistics} for {Cultural} {Heritage}, {Social} {Sciences}, {Humanities} and {Literature} ({LaTeCH}-{CLfL} 2024)},
	publisher = {Association for Computational Linguistics},
	author = {Hicke, Rebecca and Mimno, David},
	editor = {Bizzoni, Yuri and Degaetano-Ortlieb, Stefania and Kazantseva, Anna and Szpakowicz, Stan},
	month = mar,
	year = {2024},
	pages = {270--277},
}

@inproceedings{gan_assessing_2024,
	address = {Torino, Italia},
	title = {Assessing the {Capabilities} of {Large} {Language} {Models} in {Coreference}: {An} {Evaluation}},
	shorttitle = {Assessing the {Capabilities} of {Large} {Language} {Models} in {Coreference}},
	url = {https://aclanthology.org/2024.lrec-main.145/},
	abstract = {This paper offers a nuanced examination of the role Large Language Models (LLMs) play in coreference resolution, aimed at guiding the future direction in the era of LLMs. We carried out both manual and automatic analyses of different LLMs' abilities, employing different prompts to examine the performance of different LLMs, obtaining a comprehensive view of their strengths and weaknesses. We found that LLMs show exceptional ability in understanding coreference. However, harnessing this ability to achieve state of the art results on traditional datasets and benchmarks isn`t straightforward. Given these findings, we propose that future efforts should: (1) Improve the scope, data, and evaluation methods of traditional coreference research to adapt to the development of LLMs. (2) Enhance the fine-grained language understanding capabilities of LLMs.},
	urldate = {2025-01-28},
	booktitle = {Proceedings of the 2024 {Joint} {International} {Conference} on {Computational} {Linguistics}, {Language} {Resources} and {Evaluation} ({LREC}-{COLING} 2024)},
	publisher = {ELRA and ICCL},
	author = {Gan, Yujian and Poesio, Massimo and Yu, Juntao},
	editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
	month = may,
	year = {2024},
	pages = {1645--1665},
}

@misc{corefud1.3,
  title     = {Coreference in Universal Dependencies 1.3 ({CorefUD} 1.3)},
  author    = {Nov{\'a}k, Michal and Popel, Martin and Zeman, Daniel and {\v Z}abokrtsk{\'y}, Zden{\v e}k and Nedoluzhko, Anna and Acar, Kutay and Bamman, David and Bourgonje, Peter and Cinkov{\'a}, Silvie and Eckhoff, Hanne and Cebiro{\u g}lu Eryi{\u g}it, G{\"u}l{\c s}en and Haji{\v c}, Jan and Hardmeier, Christian and Haug, Dag and J{\o}rgensen, Tollef and K{\aa}sen, Andre and Krielke, Pauline and Landragin, Fr{\'e}d{\'e}ric and Lapshinova-Koltunski, Ekaterina and M{\ae}hlum, Petter and Mart{\'{\i}}, M. Ant{\`o}nia and Mikulov{\'a}, Marie and Milintsevich, Kirill and Mujadia, Vandan and Muzerelle, Judith and Nam, Sangha and N{\o}klestad, Anders and Ogrodniczuk, Maciej and {\O}vrelid, Lilja and Pamay Arslan, Tu{\u g}ba and Porada, Ian and Recasens, Marta and Solberg, Per Erik and Stede, Manfred and Straka, Milan and Swanson, Daniel and Toldova, Svetlana and Vad{\'a}sz, No{\'e}mi and Velldal, Erik and Vincze, Veronika and Zeldes, Amir and {\v Z}itkus, Voldemaras},
  url       = {http://hdl.handle.net/11234/1-5896},
  note      = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL}), Faculty of Mathematics and Physics, Charles University},
  copyright = {Licence {CorefUD} v1.3},
  year      = {2025}
}

@inproceedings{vadasz2023resolving,
author = {Vad\'{a}sz, No\'{e}mi},
title = {{Resolving Hungarian Anaphora with ChatGPT}},
year = {2023},
isbn = {978-3-031-40497-9},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
url = {https://doi.org/10.1007/978-3-031-40498-6_5},
doi = {10.1007/978-3-031-40498-6_5},
abstract = {This paper presents an experiment in which we investigated how ChatGPT performs in resolving ambiguous pronominal anaphoras in Hungarian sentences. We used the chat function of ChatGPT to gain insight into its response strategy. We used four different experimental setups to find out which questioning strategy gives the best results. We also looked at how consistent the responses were. In addition to evaluating the results, we looked for reasons why the model could or could not solve certain problems.},
booktitle = {Text, Speech, and Dialogue: 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings},
pages = {45–57},
numpages = {13},
keywords = {ChatGPT, Winograd schema, anaphora resolution},
location = {Pilsen, Czech Republic}
}

@article{fajcik2024benczechmark,
  title={Benczechmark: A czech-centric multitask and multimetric benchmark for large language models with duel scoring mechanism},
  author={Fajcik, Martin and Docekal, Martin and Dolezal, Jan and Ondrej, Karel and Bene{\v{s}}, Karel and Kapsa, Jan and Smrz, Pavel and Polok, Alexander and Hradis, Michal and Neverilova, Zuzana and others},
  journal={arXiv preprint arXiv:2412.17933},
  year={2024}
}

@inproceedings{levesque.etal12,
  title = {The {{Winograd}} Schema Challenge},
  booktitle = {Proceedings of the {{Thirteenth International Conference}} on {{Principles}} of {{Knowledge Representation}} and {{Reasoning}}},
  author = {Levesque, Hector J. and Davis, Ernest and Morgenstern, Leora},
  year = {2012},
  month = jun,
  series = {{{KR}}'12},
  pages = {552--561},
  publisher = {AAAI Press},
  address = {Rome, Italy},
  urldate = {2024-12-19},
  abstract = {In this paper, we present an alternative to the Turing Test that has some conceptual and practical advantages. A Wino-grad schema is a pair of sentences that differ only in one or two words and that contain a referential ambiguity that is resolved in opposite directions in the two sentences. We have compiled a collection of Winograd schemas, designed so that the correct answer is obvious to the human reader, but cannot easily be found using selectional restrictions or statistical techniques over text corpora. A contestant in the Winograd Schema Challenge is presented with a collection of one sentence from each pair, and required to achieve human-level accuracy in choosing the correct disambiguation.},
  isbn = {978-1-57735-560-1}
}

@inproceedings{emami.etal19,
  title = {The {{KnowRef Coreference Corpus}}: {{Removing Gender}} and {{Number Cues}} for {{Difficult Pronominal Anaphora Resolution}}},
  shorttitle = {The {{KnowRef Coreference Corpus}}},
  booktitle = {Proceedings of the 57th {{Annual Meeting}} of the {{Association}} for {{Computational Linguistics}}},
  author = {Emami, Ali and Trichelair, Paul and Trischler, Adam and Suleman, Kaheer and Schulz, Hannes and Cheung, Jackie Chi Kit},
  editor = {Korhonen, Anna and Traum, David and M{\`a}rquez, Llu{\'i}s},
  year = {2019},
  month = jul,
  pages = {3952--3961},
  publisher = {Association for Computational Linguistics},
  address = {Florence, Italy},
  doi = {10.18653/v1/P19-1386},
  urldate = {2025-08-06},
  abstract = {We introduce a new benchmark for coreference resolution and NLI, KnowRef, that targets common-sense understanding and world knowledge. Previous coreference resolution tasks can largely be solved by exploiting the number and gender of the antecedents, or have been handcrafted and do not reflect the diversity of naturally occurring text. We present a corpus of over 8,000 annotated text passages with ambiguous pronominal anaphora. These instances are both challenging and realistic. We show that various coreference systems, whether rule-based, feature-rich, or neural, perform significantly worse on the task than humans, who display high inter-annotator agreement. To explain this performance gap, we show empirically that state-of-the art models often fail to capture context, instead relying on the gender or number of candidate antecedents to make a decision. We then use problem-specific insights to propose a data-augmentation trick called antecedent switching to alleviate this tendency in models. Finally, we show that antecedent switching yields promising results on other tasks as well: we use it to achieve state-of-the-art results on the GAP coreference task.},
  file = {/home/mnovak/Zotero/storage/AY2ZGZ64/Emami et al. - 2019 - The KnowRef Coreference Corpus Removing Gender an.pdf}
}

@article{sakaguchi.etal21,
  title = {{{WinoGrande}}: An Adversarial Winograd Schema Challenge at Scale},
  shorttitle = {{{WinoGrande}}},
  author = {Sakaguchi, Keisuke and Bras, Ronan Le and Bhagavatula, Chandra and Choi, Yejin},
  year = {2021},
  month = aug,
  journal = {Commun. ACM},
  volume = {64},
  number = {9},
  pages = {99--106},
  issn = {0001-0782},
  doi = {10.1145/3474381},
  urldate = {2024-12-20},
  abstract = {Commonsense reasoning remains a major challenge in AI, and yet, recent progresses on benchmarks may seem to suggest otherwise. In particular, the recent neural language models have reported above 90\% accuracy on the Winograd Schema Challenge (WSC), a commonsense benchmark originally designed to be unsolvable for statistical models that rely simply on word associations. This raises an important question---whether these models have truly acquired robust commonsense capabilities or they rely on spurious biases in the dataset that lead to an overestimation of the true capabilities of machine commonsense.To investigate this question, we introduce WinoGrande, a large-scale dataset of 44k problems, inspired by the original WSC, but adjusted to improve both the scale and the hardness of the dataset. The key steps of the dataset construction consist of (1) large-scale crowdsourcing, followed by (2) systematic bias reduction using a novel AFLITE algorithm that generalizes human-detectable word associations to machine-detectable embedding associations. Our experiments demonstrate that state-of-the-art models achieve considerably lower accuracy (59.4\%-79.1\%) on WINOGRANDE compared to humans (94\%), confirming that the high performance on the original WSC was inflated by spurious biases in the dataset.Furthermore, we report new state-of-the-art results on five related benchmarks with emphasis on their dual implications. On the one hand, they demonstrate the effectiveness of WINOGRANDE when used as a resource for transfer learning. On the other hand, the high performance on all these benchmarks suggests the extent to which spurious biases are prevalent in all such datasets, which motivates further research on algorithmic bias reduction.},
  file = {/home/mnovak/Zotero/storage/LX4RVY9C/Sakaguchi et al. - 2021 - WinoGrande an adversarial winograd schema challen.pdf}
}

@inproceedings{gevers.etal25,
  title = {{{WinoWhat}}: {{A Parallel Corpus}} of {{Paraphrased WinoGrande Sentences}} with {{Common Sense Categorization}}},
  shorttitle = {{{WinoWhat}}},
  booktitle = {Proceedings of the 29th {{Conference}} on {{Computational Natural Language Learning}}},
  author = {Gevers, Ine and De Marez, Victor and De Bruyne, Luna and Daelemans, Walter},
  editor = {Boleda, Gemma and Roth, Michael},
  year = {2025},
  month = jul,
  pages = {68--80},
  publisher = {Association for Computational Linguistics},
  address = {Vienna, Austria},
  doi = {10.18653/v1/2025.conll-1.5},
  urldate = {2025-08-06},
  abstract = {In this study, we take a closer look at how Winograd schema challenges can be used to evaluate common sense reasoning in LLMs. Specifically, we evaluate generative models of different sizes on the popular WinoGrande benchmark. We release WinoWhat, a new corpus, in which each instance of the WinoGrande validation set is paraphrased. Additionally, we evaluate the performance on the challenge across five common sense knowledge categories, giving more fine-grained insights on what types of knowledge are more challenging for LLMs. Surprisingly, all models perform significantly worse on WinoWhat, implying that LLM reasoning capabilities are overestimated on WinoGrande. To verify whether this is an effect of benchmark memorization, we match benchmark instances to LLM trainingdata and create two test-suites. We observe that memorization has a minimal effect on model performance on WinoGrande.},
  isbn = {9798891762718},
  file = {/home/mnovak/Zotero/storage/DSQJGX7C/Gevers et al. - 2025 - WinoWhat A Parallel Corpus of Paraphrased WinoGra.pdf}
}

@inproceedings{palmer2009hindi,
  title={Hindi syntax: Annotating dependency, lexical predicate-argument structure, and phrase structure},
  author={Palmer, Martha and Bhatt, Rajesh and Narasimhan, Bhuvana and Rambow, Owen and Sharma, Dipti Misra and Xia, Fei},
  booktitle={The 7th International Conference on Natural Language Processing},
  pages={14--17},
  year={2009}
}

% CorPipe 26
@inproceedings{straka-2026-corpipe,
  title     = {{CorPipe at CRAC 2026: Empty Nodes and Cross-Lingual Transfer in Multilingual Coreference Resolution}},
  author    = {Milan Straka},
  booktitle = {Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences
      and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)},
  month = jul,
  year = "2026",
  address = "San Diego, California, USA",
  publisher = "Association for Computational Linguistics",
  _pages     = {--},
}

@inproceedings{udpdtc,
  author    = {Marie Mikulová and Barbora Štěpánková and Daniel Zeman and Jan Štěpánek and Milan Straka and Jan Hajič},
  title     = {Meet {UD\_Czech-PDTC}: A Large and Genre-Rich Treebank in {Universal Dependencies}},
  booktitle = {Proceedings of the 15th International Conference on Language Resources and Evaluation (LREC 2026)},
  publisher = {European Language Resources Association},
  address   = {Palma, Spain},
  year      = 2026,
}

@inproceedings{pdtsc,
  author    = {Marie Mikulová and Jiří Mírovský and Anna Nedoluzhko and Petr Pajas and Jan Štěpánek and Jan Hajič},
  title     = {{PDTSC 2.0} -- Spoken Corpus with Rich Multi-layer Structural Annotation},
  booktitle = {Lecture Notes in Computer Science, 20th International Conference, TSD 2017 Prague, Czech Republic, No. 10415},
  publisher = {Springer International Publishing},
  address   = {Cham / Heidelberg / New York / Dordrecht / London},
  pages     = {129--137},
  year      = 2017,
  isbn      = {978-3-319-64205-5},
  issn      = {0302-9743}
}



@article{MelanieBecquet2024BookNLPfr,
  author  = {M{\'e}lani{\'e}-Becquet, Fr{\'e}d{\'e}rique and Barr{\'e}, Jean and Seminck, Olga and Plancq, Cl{\'e}ment and Naguib, Marco and Pastor, Martial and Poibeau, Thierry},
  title   = {{BookNLP-fr, the French Versant of BookNLP: A Tailored Pipeline for 19th and 20th Century French Literature}},
  journal = {Journal of Computational Literary Studies},
  volume  = {3},
  number  = {1},
  pages   = {1--34},
  year    = {2024},
  doi     = {10.48694/jcls.3924}
}

@inproceedings{bourgois-poibeau-2025-elephant,
    title = "The Elephant in the Coreference Room: Resolving Coreference in Full-Length {F}rench Fiction Works",
    author = "Bourgois, Antoine  and
      Poibeau, Thierry",
    editor = "Ogrodniczuk, Maciej  and
      Novak, Michal  and
      Poesio, Massimo  and
      Pradhan, Sameer  and
      Ng, Vincent",
    booktitle = "Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.crac-1.5/",
    doi = "10.18653/v1/2025.crac-1.5",
    pages = "55--69",
    abstract = "While coreference resolution is attracting more interest than ever from computational literature researchers, representative datasets of fully annotated long documents remain surprisingly scarce. In this paper, we introduce a new annotated corpus of three full-length French novels, totaling over 285,000 tokens. Unlike previous datasets focused on shorter texts, our corpus addresses the challenges posed by long, complex literary works, enabling evaluation of coreference models in the context of long reference chains. We present a modular coreference resolution pipeline that allows for fine-grained error analysis. We show that our approach is competitive and scales effectively to long documents. Finally, we demonstrate its usefulness to infer the gender of fictional characters, showcasing its relevance for both literary analysis and downstream NLP tasks."
}

@inproceedings{martinelli-etal-2025-xcore,
    title = "x{C}o{R}e: Cross-context Coreference Resolution",
    author = "Martinelli, Giuliano  and
      Gatti, Bruno  and
      Navigli, Roberto",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.emnlp-main.1737/",
    doi = "10.18653/v1/2025.emnlp-main.1737",
    pages = "34264--34278",
    ISBN = "979-8-89176-332-6",
    abstract = "Current coreference resolution systems are typically tailored for short- or medium-sized texts and struggle to scale to very long documents due to architectural limitations and implied memory costs.However, a few available solutions can be applied by inputting documents split into smaller windows. This is inherently similar to what happens in the cross-document setting, in which systems infer coreference relations between mentions that are found in separate documents.In this paper, we unify these two challenging settings under the general framework of cross-context coreference, and introduce xCoRe, a new unified approach designed to efficiently handle short-, long-, and cross-document coreference resolution.xCoRe adopts a three-step pipeline that first identifies mentions, then creates clusters within individual contexts, and finally merges clusters across contexts.In our experiments, we show that our formulation enables joint training on shared long- and cross-document resources, increasing data availability and particularly benefiting the challenging cross-document task.Our model achieves new state-of-the-art results on cross-document benchmarks and strong performance on long-document data, while retaining top-tier results on traditional datasets, positioning it as a robust, versatile solution that can be applied across all end-to-end coreference settings.We release our models and code at http://github.com/sapienzanlp/xcore."
}