🧑🔬 Yejin Choi — papers of 2019 — 11 papers, the most cited first11 papers · all years of Yejin ChoiThe Curious Case of Neural Text DegenerationarXiv:1904.09751Ari Holtzman, Jan Buys, Li Du, et al.2019 · 2,660 citationsCOMET: Commonsense Transformers for Automatic Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.2019 · 1,294 citationsPIQA: Reasoning about Physical Commonsense in Natural LanguageProceedings of the AAAI Conference on Artificial IntelligenceYonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.2019 · 1,264 citationsThe Risk of Racial Bias in Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Maarten Sap, Dallas Card, Saadia Gabriel, et al.2019 · 1,164 citationsCosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.English · 544 citationsMathQA: Towards Interpretable Math Word Problem Solving with Operation-Based FormalismsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Aida Amini, Saadia Gabriel, Shanchuan Lin, et al.2019 · 507 citationsDefending Against Neural Fake NewsarXiv:1905.12616Rowan Zellers, Ari Holtzman, Hannah Rashkin, et al.2019 · 478 citationsDREAM: A Challenge Data Set and Models for Dialogue-Based Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Jianshu Chen, et al.2019 · 334 citationsAbductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.English · 309 citationsSocialIQA: Commonsense Reasoning about Social InteractionsarXiv:1904.09728Maarten Sap, Hannah Rashkin, Derek Chen, et al.2019 · 259 citationsDo Neural Language Representations Learn Physical Commonsense?arXiv:1908.02899Maxwell Forbes, Ari Holtzman, Yejin Choi2019 · 64 citationsThis page in Markdown → https://md.research.elamur.ai/free/en/authors/yejin-choi/year/2019/