| 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 | 1161 | 2019 |
| RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith Findings of EMNLP, 2020 | 1146 | 2020 |
| 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 | 1060 | 2019 |
| The Risk of Racial Bias in Hate Speech Detection M Sap, D Card, S Gabriel, Y Choi, NA Smith ACL, 2019 | 1027 | 2019 |
| SocialIQA: Commonsense Reasoning about Social Interactions M Sap, H Rashkin, D Chen, R LeBras, Y Choi EMNLP, 2019 | 791 | 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 | 682 | 2015 |
| 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 | 515 | 2020 |
| 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 | 488 | 2021 |
| Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection T Hartvigsen, S Gabriel, H Palangi, M Sap, D Ray, E Kamar arXiv preprint arXiv:2203.09509, 2022 | 406 | 2022 |
| 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 | 355 | 2021 |
| 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 | 344 | 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 | 308 | 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 | 304 | 2016 |
| 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 | 264 | 2022 |
| Social Chemistry 101: Learning to Reason about Social and Moral Norms M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi EMNLP, 2020 | 263 | 2020 |
| 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 | 241 | 2016 |
| 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 | 229* | 2021 |
| 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 | 221 | 2015 |
| Event2Mind: Commonsense Inference on Events, Intents, and Reactions H Rashkin, M Sap, E Allaway, NA Smith, Y Choi ACL, 2018 | 219 | 2018 |
| Neural theory-of-mind? on the limits of social intelligence in large lms M Sap, R LeBras, D Fried, Y Choi arXiv preprint arXiv:2210.13312, 2022 | 206 | 2022 |
Yejin ChoiStanford University / NVIDIAEmail verificata su stanford.edu