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Maarten Sap
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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
11592019
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
S Gehman, S Gururangan, M Sap, Y Choi, NA Smith
Findings of EMNLP, 2020
11302020
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
10572019
The Risk of Racial Bias in Hate Speech Detection
M Sap, D Card, S Gabriel, Y Choi, NA Smith
ACL, 2019
10222019
SocialIQA: Commonsense Reasoning about Social Interactions
M Sap, H Rashkin, D Chen, R LeBras, Y Choi
EMNLP, 2019
7812019
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
6812015
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
5142020
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
4832021
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
3972022
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
3482021
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
3442014
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
3082014
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
3042016
Social Chemistry 101: Learning to Reason about Social and Moral Norms
M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi
EMNLP, 2020
2622020
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
2612022
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
2412016
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
227*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
2202015
Event2Mind: Commonsense Inference on Events, Intents, and Reactions
H Rashkin, M Sap, E Allaway, NA Smith, Y Choi
ACL, 2018
2192018
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
2052022
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