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2020 – today
- 2023
[i29]Emily Allaway, Nina Taneja, Sarah-Jane Leslie, Maarten Sap:
Towards Countering Essentialism through Social Bias Reasoning. CoRR abs/2303.16173 (2023)- [i28]Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - 2022
- [c36]Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. ACL (1) 2022: 3108-3127 - [c35]Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar:
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. ACL (1) 2022: 3309-3326 - [c34]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. EMNLP 2022: 3762-3780 - [c33]Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap:
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP 2022: 4005-4029 - [c32]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. NAACL-HLT 2022: 5884-5906 - [c31]Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi:
Aligning to Social Norms and Values in Interactive Narratives. NAACL-HLT 2022: 5994-6017 - [c30]Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS 2022 - [i27]Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz:
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR abs/2201.02662 (2022) - [i26]Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar:
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. CoRR abs/2203.09509 (2022) - [i25]Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi:
Aligning to Social Norms and Values in Interactive Narratives. CoRR abs/2205.01975 (2022) - [i24]Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap:
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR abs/2205.12688 (2022) - [i23]Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR abs/2210.01478 (2022) - [i22]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. CoRR abs/2210.13312 (2022) - [i21]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR abs/2212.10465 (2022) - [i20]Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. CoRR abs/2212.10543 (2022) - 2021
- [b1]Maarten Sap:
Positive AI with Social Commonsense Models. University of Washington, USA, 2021 - [c29]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) 2021: 6691-6706 - [c28]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith:
Challenges in Automated Debiasing for Toxic Language Detection. EACL 2021: 3143-3155 - [c27]Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner:
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. EMNLP (1) 2021: 1286-1305 - [c26]Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. EMNLP (1) 2021: 4846-4862 - [c25]Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein:
Detoxifying Language Models Risks Marginalizing Minority Voices. NAACL-HLT 2021: 2390-2397 - [i19]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. CoRR abs/2102.00086 (2021) - [i18]Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein:
Detoxifying Language Models Risks Marginalizing Minority Voices. CoRR abs/2104.06390 (2021) - [i17]Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner:
Documenting the English Colossal Clean Crawled Corpus. CoRR abs/2104.08758 (2021) - [i16]Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Belief Frames: A Case Study on Covid & Climate News. CoRR abs/2104.08790 (2021) - [i15]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR abs/2105.03023 (2021) - [i14]Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. CoRR abs/2108.11830 (2021) - [i13]Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jon Borchardt, Jenny Liang, Oren Etzioni, Maarten Sap, Yejin Choi:
Delphi: Towards Machine Ethics and Norms. CoRR abs/2110.07574 (2021) - [i12]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. CoRR abs/2111.07997 (2021) - 2020
- [c24]Maarten Sap, Vered Shwartz, Antoine Bosselut
, Yejin Choi, Dan Roth:
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) 2020: 27-33 - [c23]Tal August, Maarten Sap, Elizabeth Clark, Katharina Reinecke, Noah A. Smith:
Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus. NUSE@ACL 2020: 46-54 - [c22]Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker:
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. ACL 2020: 1970-1978 - [c21]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c20]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. EMNLP (1) 2020: 653-670 - [c19]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. EMNLP (Findings) 2020: 3356-3369 - [c18]Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi:
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction. EMNLP (1) 2020: 7426-7441 - [i11]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. CoRR abs/2009.11462 (2020) - [i10]Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi:
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction. CoRR abs/2010.13816 (2020) - [i9]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. CoRR abs/2011.00620 (2020)
2010 – 2019
- 2019
- [c17]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c16]Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith:
The Risk of Racial Bias in Hate Speech Detection. ACL (1) 2019: 1668-1678 - [c15]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. ACL (1) 2019: 4762-4779 - [c14]Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
Social IQa: Commonsense Reasoning about Social Interactions. EMNLP/IJCNLP (1) 2019: 4462-4472 - [i8]Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
SocialIQA: Commonsense Reasoning about Social Interactions. CoRR abs/1904.09728 (2019) - [i7]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. CoRR abs/1906.05317 (2019) - [i6]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR abs/1911.03891 (2019) - 2018
- [c13]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. ACL (1) 2018: 463-473 - [c12]Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. ACL (1) 2018: 2289-2299 - [c11]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) 2018: 96-100 - [i5]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR abs/1804.10202 (2018) - [i4]Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. CoRR abs/1805.06533 (2018) - [i3]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. CoRR abs/1805.06939 (2018) - [i2]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. CoRR abs/1811.00146 (2018) - 2017
- [c10]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoNLL 2017: 15-25 - [c9]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
Story Cloze Task: UW NLP System. LSDSem@EACL 2017: 52-55 - [c8]H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt:
DLATK: Differential Language Analysis ToolKit. EMNLP (System Demonstrations) 2017: 55-60 - [c7]Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi:
Connotation Frames of Power and Agency in Modern Films. EMNLP 2017: 2329-2334 - [i1]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoRR abs/1702.01841 (2017) - 2016
- [c6]H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar:
Predicting Individual Well-Being Through the Language of Social Media. PSB 2016: 516-527 - 2015
- [c5]Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Gregory J. Park, Maarten Sap, Laura Smith, Victoria Tobolsky, H. Andrew Schwartz, Lyle H. Ungar:
The role of personality, age, and gender in tweeting about mental illness. CLPsych@HLT-NAACL 2015: 21-30 - [c4]Daniel Preotiuc-Pietro, Maarten Sap, H. Andrew Schwartz, Lyle H. Ungar:
Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. CLPsych@HLT-NAACL 2015: 40-45 - [c3]H. Andrew Schwartz, Gregory J. Park, Maarten Sap, Evan Weingarten, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Jonah Berger, Martin E. P. Seligman, Lyle H. Ungar:
Extracting Human Temporal Orientation from Facebook Language. HLT-NAACL 2015: 409-419 - 2014
- [c2]H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Gregory J. Park, Maarten Sap, David Stillwell, Michal Kosinski, Lyle Ungar:
Towards Assessing Changes in Degree of Depression through Facebook. CLPsych@ACL 2014: 118-125 - [c1]Maarten Sap, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Lyle H. Ungar, H. Andrew Schwartz:
Developing Age and Gender Predictive Lexica over Social Media. EMNLP 2014: 1146-1151
Coauthor Index
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last updated on 2023-05-12 20:55 CEST by the dblp team
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