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Machine comprehension of texts longer than a single sentence often requires coreference resolution.
Model-based annotation of coreference
Rahul Aralikatte and Anders Søgaard. 2019 · 1906
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XLNet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 1906
Earlier work this paper cites.
Unrestricted coreference: Identifying entities and events in OntoNotes
Sameer S. Pradhan, Lance Ramshaw, Ralph Weischedel, Jessica MacBride, and Linnea Micciulla. 2007 · 2007
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Vagueness and referential ambiguity in a large-scale annotated corpus
Yannick Versley. 2008 · 2008
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Experiments with clueweb09: Relevance feedback and web tracks
Mark D. Smucker, Charles L. A. Clarke, and Gordon V. Cormack. 2009 · 2009
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Identity, non-identity, and near-identity: Addressing the complexity of coreference
Marta Recasens, Eduard Hovy, and M Antònia Martí. 2011 · 2011
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Annotated Gigaword
Courtney Napoles, Matthew R. Gormley, and Benjamin Van Durme. 2012 · 2012
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MCTest: A challenge dataset for the open-domain machine comprehension of text
Matthew Richardson, Christopher J. C. Burges, and Erin Renshaw. 2013 · 2013
Earlier work this paper cites.
Removing the training wheels: A coreference dataset that entertains humans and challenges computers
Anupam Guha, Mohit Iyyer, Danny Bouman, and Jordan Boyd-Graber. 2015 · 2015
Earlier work this paper cites.
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
Earlier work this paper cites.
MS MARCO: A human generated machine reading comprehension dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, et al. 2016 · 2016
Cited alongside, same era.
WikiCoref: An English coreference-annotated corpus of Wikipedia articles
Abbas Ghaddar and Phillippe Langlais. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar S. Joshi, Eunsol Choi, Daniel S. Weld, and Luke S. Zettlemoyer. 2017 · 2017
Cited alongside, same era.
RACE: Large-scale ReAding comprehension dataset from examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard Hovy. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A Smith. 2018 · 2018
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How much reading does reading comprehension require? A critical investigation of popular benchmarks
Divyansh Kaushik and Zachary Chase Lipton. 2018 · 2018
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Anaphora resolution with the ARRAU corpus
Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alexandra Uma, Olga Uryupina, Juntao Yu, and Heike Zinsmeister. 2018 · 2018
Later among the works it cites.
QANet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V. Le. 2018 · 2018
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
PreCo: A large-scale dataset in preschool vocabulary for coreference resolution
Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille, and Shu Rong. 2018 · 2018
Cited alongside, same era.
Simple and effective multi-paragraph reading comprehension
Christopher Clark and Matt Gardner. 2018 · 2018
Cited alongside, same era.
AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2019 · 2019
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Natural Questions: A benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
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Inoculation by fine-tuning: A method for analyzing challenge datasets
Nelson F. Liu, Roy Schwartz, and Noah A. Smith. 2019 · 2019
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A crowdsourced corpus of multiple judgments and disagreement on anaphoric interpretation
Massimo Poesio, Jon Chamberlain, Silviu Paun, Juntao Yu, Alexandra Uma, and Udo Kruschwitz. 2019 · 2019
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