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Negation is a core construction in natural language.
A BERT baseline for the natural questions
Chris Alberti, Kenton Lee, and Michael Collins. 2019 · 1901
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Grammatical analysis of pretrained sentence encoders with acceptability judgments
Alex Warstadt and Samuel R. Bowman. 2019 · 1901
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Good-enough compositional data augmentation
Jacob Andreas. 2019 · 1904
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Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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olmpics - on what language model pre-training captures
Alon Talmor, Yanai Elazar, Yoav Goldberg, and Jonathan Berant. 2019 · 1912
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Stanza: A python natural language processing toolkit for many human languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020 · 2003
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Syntactic data augmentation increases robustness to inference heuristics
Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, and Tal Linzen. 2020 · 2004
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Hiroshi Noji and Hiroya Takamura. 2020 · 2004
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The PASCAL recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2005 · 2005
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The second pascal recognising textual entailment challenge
Roy Bar-Haim, Ido Dagan, Bill Dolan, Lisa Ferro, and Danilo Giampiccolo. 2006 · 2006
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Learning alignments and leveraging natural logic
Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, and Christopher D. Manning. 2007 · 2007
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The third PASCAL recognizing textual entailment challenge
Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, and Bill Dolan. 2007 · 2007
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B.: The fifth pascal recognizing textual entailment challenge
Luisa Bentivogli, Peter Clark, Ido Dagan, and Danilo Giampiccolo. 2009 · 2009
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A metalearning approach to processing the scope of negation
Roser Morante and Walter Daelemans. 2009 · 2009
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Negation focus identification with contextual discourse information
Bowei Zou, Guodong Zhou, and Qiaoming Zhu. 2014 · 2014
Cited alongside, same era.
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Unsupervised negation focus identification with word-topic graph model
Bowei Zou, Guodong Zhou, and Qiaoming Zhu. 2015 · 2015
Cited alongside, same era.
Neural networks for negation scope detection
Federico Fancellu, Adam Lopez, and Bonnie Webber. 2016 · 2016
Cited alongside, same era.
Commonsense knowledge base completion
Xiang Li, Aynaz Taheri, Lifu Tu, and Kevin Gimpel. 2016 · 2016
Cited alongside, same era.
Squad: 100, 000+ questions for machine comprehension of text
COMET: Commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
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Attention-based deep learning system for negation and assertion detection in clinical notes
Long Chen. 2019 · 2019
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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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Negated and misprimed probes for pretrained language models: Birds can talk, but cannot fly
Nora Kassner and Hinrich Schütze. 2019 · 2019
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Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Detecting negation scope is easy, except when it isn’t
Federico Fancellu, Adam Lopez, Bonnie Webber, and Hangfeng He. 2017 · 2017
Cited alongside, same era.
T-rex: A large scale alignment of natural language with knowledge base triples
Hady ElSahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon S. Hare, Frédérique Laforest, and Elena Simperl. 2018 · 2018
Cited alongside, same era.
Colorless green recurrent networks dream hierarchically
Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, and Marco Baroni. 2018 · 2018
Cited alongside, same era.
Do language models understand anything? on the ability of LSTMs to understand negative polarity items
Jaap Jumelet and Dieuwke Hupkes. 2018 · 2018
Cited alongside, same era.
Learning with structured representations for negation scope extraction
Hao Li and Wei Lu. 2018 · 2018
Cited alongside, same era.
Targeted syntactic evaluation of language models
Rebecca Marvin and Tal Linzen. 2018 · 2018
Cited alongside, same era.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander H. Miller. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Negative focus detection via contextual attention mechanism
Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, and AiTi Aw. 2019 · 2019
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Bert rediscovers the classical nlp pipeline
Ian Tenney, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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EDA: easy data augmentation techniques for boosting performance on text classification tasks
Jason W. Wei and Kai Zou. 2019 · 2019
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An analysis of natural language inference benchmarks through the lens of negation
Md Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, Tiffany Kao, Elizabeth Wei, and Eduardo Blanco. 2020b · 2020
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Neural text generation with unlikelihood training
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, and Jason Weston. 2020 · 2020
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How does BERT’s attention change when you fine-tune? an analysis methodology and a case study in negation scope
Yiyun Zhao and Steven Bethard. 2020 · 2020
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