| COMET: Commonsense transformers for automatic knowledge graph construction A Bosselut, H Rashkin, M Sap, C Malaviya, A Celikyilmaz, Y Choi arXiv preprint arXiv:1906.05317, 2019 | 758 | 2019 |
| ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning M Sap, R LeBras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, B Roof, ... AAAI, 2019 | 722 | 2019 |
| The Risk of Racial Bias in Hate Speech Detection M Sap, D Card, S Gabriel, Y Choi, NA Smith ACL, 2019 | 676 | 2019 |
| Psychological language on Twitter predicts county-level heart disease mortality JC Eichstaedt, HA Schwartz, ML Kern, G Park, DR Labarthe, ... Psychological science 26 (2), 159-169, 2015 | 600 | 2015 |
| RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith Findings of EMNLP, 2020 | 445 | 2020 |
| SocialIQA: Commonsense Reasoning about Social Interactions M Sap, H Rashkin, D Chen, R LeBras, Y Choi EMNLP, 2019 | 364 | 2019 |
| Social Bias Frames: Reasoning about Social and Power Implications of Language M Sap, S Gabriel, L Qin, D Jurafsky, NA Smith, Y Choi ACL, 2020 | 302 | 2020 |
| Towards assessing changes in degree of depression through facebook HA Schwartz, J Eichstaedt, M Kern, G Park, M Sap, D Stillwell, M Kosinski, ... Proceedings of the workshop on computational linguistics and clinical …, 2014 | 292 | 2014 |
| Developing Age and Gender Predictive Lexica over Social Media M Sap, G Park, JC Eichstaedt, ML Kern, DJ Stillwell, M Kosinski, ... Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 273 | 2014 |
| Gaining Insights From Social Media Language: Methodologies and Challenges ML Kern, G Park, JC Eichstaedt, HA Schwartz, M Sap, LK Smith, ... Psychological Methods 2014, e1-e3, 2016 | 244 | 2016 |
| Predicting individual well-being through the language of social media HA Schwartz, M Sap, ML Kern, JC Eichstaedt, A Kapelner, M Agrawal, ... Biocomputing 2016: Proceedings of the Pacific Symposium, 516-527, 2016 | 192 | 2016 |
| Event2Mind: Commonsense Inference on Events, Intents, and Reactions H Rashkin, M Sap, E Allaway, NA Smith, Y Choi ACL, 2018 | 189 | 2018 |
| The role of personality, age, and gender in tweeting about mental illness D Preoţiuc-Pietro, J Eichstaedt, G Park, M Sap, L Smith, V Tobolsky, ... Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015 | 189 | 2015 |
| Documenting large webtext corpora: A case study on the colossal clean crawled corpus J Dodge, M Sap, A Marasović, W Agnew, G Ilharco, D Groeneveld, ... arXiv preprint arXiv:2104.08758, 2021 | 170 | 2021 |
| DExperts: Decoding-time controlled text generation with experts and anti-experts A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi arXiv preprint arXiv:2105.03023, 2021 | 139 | 2021 |
| Social Chemistry 101: Learning to Reason about Social and Moral Norms M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi EMNLP, 2020 | 125 | 2020 |
| Dlatk: Differential language analysis toolkit HA Schwartz, S Giorgi, M Sap, P Crutchley, L Ungar, J Eichstaedt Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 124 | 2017 |
| The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith CoNLL, 2017 | 112 | 2017 |
| Can machines learn morality? the delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, J Liang, J Dodge, ... arXiv preprint arXiv:2110.07574, 2021 | 108* | 2021 |
| Annotators with attitudes: How annotator beliefs and identities bias toxic language detection M Sap, S Swayamdipta, L Vianna, X Zhou, Y Choi, NA Smith NAACL, 2022 | 104 | 2022 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
