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Natural language inference requires reasoning about contradictions, negations, and their commonsense implications.
Roberta: A robustly optimized bert pretraining approach
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Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
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Defeasible Inference , pages 85–107. Macmillan Education UK, London
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Cyc: A large-scale investment in knowledge infrastructure
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Bleu: A method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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What’s great and what’s not: learning to classify the scope of negation for improved sentiment analysis
Isaac Councill, Ryan McDonald, and Leonid Velikovich. 2010 · 2010
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It’s not a non-issue: Negation as a source of error in machine translation
Md Mosharaf Hossain, Antonios Anastasopoulos, Eduardo Blanco, and Alexis Palmer. 2020 · 2010
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Comet-atomic 2020: On symbolic and neural commonsense knowledge graphs
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi. 2020 · 2010
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Bonferroni Correction , pages 154–154. Springer New York, New York, NY
Winston Haynes. 2013 · 2013
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Translating negation: A manual error analysis
Federico Fancellu and Bonnie Webber. 2015 · 2015
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Negation scope detection for twitter sentiment analysis
Johan Reitan, Jørgen Faret, Björn Gambäck, and Lars Bungum. 2015 · 2015
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Commonsense knowledge base completion
Xiang Li, Aynaz Taheri, Lifu Tu, and Kevin Gimpel. 2016 · 2016
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Connotation frames: A data-driven investigation
Hannah Rashkin, Sameer Singh, and Yejin Choi. 2016 · 2016
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Semantic and pragmatic processes in the comprehension of negation: An event related potential study of negative polarity sensitivity
Ming Xiang, Julian Grove, and Anastasia Giannakidou. 2016 · 2016
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2017 · 2017
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
Abductive commonsense reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen tau Yih, and Yejin Choi. 2020 · 2020
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Piqa: Reasoning about physical commonsense in natural language
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, and Yejin Choi. 2020 · 2020
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Scalable multi-hop relational reasoning for knowledge-aware question answering
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, and Xiang Ren. 2020 · 2020
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel. 2020 · 2020
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Negation
Laurence R. Horn and Heinrich Wansing. 2020 · 2020
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Are pretrained language models symbolic reasoners over knowledge?
Nora Kassner, Benno Krojer, and Hinrich Schütze. 2020 · 2020
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Probing what different NLP tasks teach machines about function word comprehension
Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, and Ellie Pavlick. 2019 · 2019
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Kagnet: Knowledge-aware graph networks for commonsense reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, and Xiang Ren. 2019 · 2019
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Counterfactual story reasoning and generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, and Yejin Choi. 2019 · 2019
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Language models are unsupervised multitask learners
A. Radford, Jeffrey Wu, R. Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Socialiqa: Commonsense reasoning about social interactions
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan LeBras, and Yejin Choi. 2019 · 2019
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Logic-guided data augmentation and regularization for consistent question answering
Akari Asai and Hannaneh Hajishirzi. 2020 · 2020
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Negated and misprimed probes for pretrained language models: Birds can talk, but cannot fly
Nora Kassner and Hinrich Schütze. 2020 · 2020
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Beta embeddings for multi-hop logical reasoning in knowledge graphs
Hongyu Ren and Jure Leskovec. 2020 · 2020
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Thinking like a skeptic: Defeasible inference in natural language
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, and Yejin Choi. 2020 · 2020
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Winogrande: An adversarial winograd schema challenge at scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
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ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2020 · 2020
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An atlas of cultural commonsense for machine reasoning
Anurag Acharya, Kartik Talamadupula, and Mark A Finlayson. 2021 · 2021
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