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Recent work on extending coreference resolution across domains and languages relies on annotated data in both the target domain and language.
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Daniel Jurafsky and James H. Martin. 2000 · 2000
Earlier work this paper cites.
Coreference resolution in a modular, entity-centered model
Aria Haghighi and Dan Klein. 2010 · 2010
Earlier work this paper cites.
SemEval-2010 task 1: Coreference resolution in multiple languages
Marta Recasens, Lluís Màrquez, Emili Sapena, M. Antònia Martí, Mariona Taulé, Véronique Hoste, Massimo Poesio, and Yannick Versley. 2010 · 2010
Earlier work this paper cites.
OntoNotes: A Large Training Corpus for Enhanced Processing
Ralph Weischedel, Eduard Hovy, Mitchell Marcus, Martha Palmer, Robert Belvin, Sameer Pradhan, Lance Ramshaw, and Nianwen Xue. 2011 · 2011
Earlier work this paper cites.
The Winograd schema challenge
Hector Levesque, Ernest Davis, and Leora Morgenstern. 2012 · 2012
Earlier work this paper cites.
CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012
Earlier work this paper cites.
Error-driven analysis of challenges in coreference resolution
Jonathan K. Kummerfeld and Dan Klein. 2013 · 2013
Earlier work this paper cites.
Deterministic coreference resolution based on entity-centric, precision-ranked rules
Heeyoung Lee, Angel Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. 2013 · 2013
Earlier work this paper cites.
End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Lexical features in coreference resolution: To be used with caution
Nafise Sadat Moosavi and Michael Strube. 2017 · 2017
Earlier work this paper cites.
PreCo: A large-scale dataset in preschool vocabulary for coreference resolution
Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille, and Shu Rong. 2018 · 2018
Earlier work this paper cites.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Cited alongside, same era.
Conundrums in entity coreference resolution: Making sense of the state of the art
Jing Lu and Vincent Ng. 2020 · 2020
Cited alongside, same era.
Emergent linguistic structure in artificial neural networks trained by self-supervision
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, and Omer Levy. 2020 · 2020
Cited alongside, same era.
CorefQA: Coreference resolution as query-based span prediction
Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, and Jiwei Li. 2020 · 2020
Cited alongside, same era.
Coreference resolution through a seq2seq transition-based system
Bernd Bohnet, Chris Alberti, and Michael Collins. 2022 · 2022
Later among the works it cites.
Mention annotations alone enable efficient domain adaptation for coreference resolution
Nupoor Gandhi, Anjalie Field, and Emma Strubell. 2022 · 2022
Later among the works it cites.
Few-shot anaphora resolution in scientific protocols via mixtures of in-context experts
Nghia T Le, Fan Bai, and Alan Ritter. 2022 · 2022
Later among the works it cites.
Autoregressive structure prediction with language models
Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, and Mrinmaya Sachan. 2022 · 2022
Later among the works it cites.
Introducing chatgpt
OpenAI. 2022 · 2022
Later among the works it cites.
Training language models to follow instructions with human feedback
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Shubham Toshniwal, Patrick Xia, Sam Wiseman, Karen Livescu, and Kevin Gimpel. 2021 · 2021
Cited alongside, same era.
Understanding mention detector-linker interaction in neural coreference resolution
Zhaofeng Wu and Matt Gardner. 2021 · 2021
Cited alongside, same era.
Moving on from OntoNotes: Coreference resolution model transfer
Patrick Xia and Benjamin Van Durme. 2021 · 2021
Cited alongside, same era.
Temporal effects on pre-trained models for language processing tasks
Oshin Agarwal and Ani Nenkova. 2022 · 2022
Cited alongside, same era.
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag. 2022 · 2022
Cited alongside, same era.
Ask me anything: A simple strategy for prompting language models
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, and Christopher Ré. 2022 · 2022
Cited alongside, same era.
Prompting language models for linguistic structure
Terra Blevins, Hila Gonen, and Luke Zettlemoyer. 2022 · 2022
Cited alongside, same era.
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Later among the works it cites.
A simple unsupervised approach for coreference resolution using rule-based weak supervision
Alessandro Stolfo, Chris Tanner, Vikram Gupta, and Mrinmaya Sachan. 2022 · 2022
Later among the works it cites.
What GPT knows about who is who
Xiaohan Yang, Eduardo Peynetti, Vasco Meerman, and Chris Tanner. 2022 · 2022
Later among the works it cites.
Do conll-2003 named entity taggers still work well in 2023?
Shuheng Liu and Alan Ritter. 2023 · 2023
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OpenAI. 2023 · 2023
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Code llama: Open foundation models for code
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, and Gabriel Synnaeve. 2023 · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
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