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Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations


Oct 12, 2021
Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran


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On Releasing Annotator-Level Labels and Information in Datasets


Oct 12, 2021
Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz


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Cross-geographic Bias Detection in Toxicity Modeling


Apr 14, 2021
Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran


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How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection


Apr 08, 2021
Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova

* The International AAAI Conference on Web and Social Media (ICWSM) 2021 
* Published at ICWSM 2021. Please cite that version for academic publications 

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Re-imagining Algorithmic Fairness in India and Beyond


Jan 27, 2021
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran

* Proceedings of the 2021 conference on Fairness, Accountability, and Transparency 

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Non-portability of Algorithmic Fairness in India


Dec 08, 2020
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran

* Part of the Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020 

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Learning to Recognize Dialect Features


Oct 23, 2020
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein


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Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context


Jun 17, 2020
Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac

* 11 pages, 5 figures 

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Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics


May 22, 2020
Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac

* Eighth Annual Conference on Learning Representations (ICLR 2020), Virtual Workshop: Machine Learning in Real Life, April 26, 2020, 6 pages, 1 figure, fix comment typo, fix author name 

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Social Biases in NLP Models as Barriers for Persons with Disabilities


May 02, 2020
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

* ACL 2020 
* ACL 2020 short paper. 5 pages 

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Perturbation Sensitivity Analysis to Detect Unintended Model Biases


Oct 09, 2019
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell

* EMNLP 2019 Short Paper 

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Power Networks: A Novel Neural Architecture to Predict Power Relations


Jul 17, 2018
Michelle Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran

* Accepted by SIGHUM, an ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities 

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Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions


May 15, 2018
Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow

* North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). 2018 
* NAACL 2018 long paper. 9 pages plus references 

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Dialog Structure Through the Lens of Gender, Gender Environment, and Power


Jun 12, 2017
Vinodkumar Prabhakaran, Owen Rambow

* Journal for Dialogue & Discourse 8(2) (2017) 21-55 

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Statistical modality tagging from rule-based annotations and crowdsourcing


Mar 04, 2015
Vinodkumar Prabhakaran, Michael Bloodgood, Mona Diab, Bonnie Dorr, Lori Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme

* In Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, pages 57-64, Jeju, Republic of Korea, July 2012. Association for Computational Linguistics 
* 8 pages, 6 tables; appeared in Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, July 2012; In Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, pages 57-64, Jeju, Republic of Korea, July 2012. Association for Computational Linguistics 

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