Vinodkumar Prabhakaran

Orcid: 0000-0003-3329-2305

According to our database1, Vinodkumar Prabhakaran authored at least 78 papers between 2009 and 2024.

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Bibliography

2024
Coming into relations: How communication reveals and persuades relational decisions.
Soc. Networks, 2024

(Unfair) Norms in Fairness Research: A Meta-Analysis.
CoRR, 2024

Beyond Aesthetics: Cultural Competence in Text-to-Image Models.
CoRR, 2024

GeniL: A Multilingual Dataset on Generalizing Language.
CoRR, 2024

SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes.
CoRR, 2024

Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
CoRR, 2024

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res., 2023

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata.
CoRR, 2023

A Framework to Assess (Dis)agreement Among Diverse Rater Groups.
CoRR, 2023

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity.
CoRR, 2023

Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety.
CoRR, 2023

The Reasonable Effectiveness of Diverse Evaluation Data.
CoRR, 2023

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DICES Dataset: Diversity in Conversational AI Evaluation for Safety.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MD3: The Multi-Dialect Dataset of Dialogues.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Distinguishing Address vs. Reference Mentions of Personal Names in Text.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations.
Trans. Assoc. Comput. Linguistics, 2022

Cultural Incongruencies in Artificial Intelligence.
CoRR, 2022

Cultural Re-contextualization of Fairness Research in Language Technologies in India.
CoRR, 2022

A Human Rights-Based Approach to Responsible AI.
CoRR, 2022

LaMDA: Language Models for Dialog Applications.
CoRR, 2022

BeSt: The Belief and Sentiment Corpus.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Underspecification in Scene Description-to-Depiction Tasks.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Re-contextualizing Fairness in NLP: The Case of India.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Evaluation Gaps in Machine Learning Practice.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Power to the People? Opportunities and Challenges for Participatory AI.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.
CoRR, 2021

Thinking Beyond Distributions in Testing Machine Learned Models.
CoRR, 2021

On Releasing Annotator-Level Labels and Information in Datasets.
CoRR, 2021

Cross-geographic Bias Detection in Toxicity Modeling.
CoRR, 2021

Learning to Recognize Dialect Features.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Re-imagining Algorithmic Fairness in India and Beyond.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020
Unintended machine learning biases as social barriers for persons with disabilitiess.
ACM SIGACCESS Access. Comput., 2020

Non-portability of Algorithmic Fairness in India.
CoRR, 2020

Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context.
CoRR, 2020

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics.
CoRR, 2020

Social Biases in NLP Models as Barriers for Persons with Disabilities.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020.
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019
Socially Responsible Natural Language Processing.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Perturbation Sensitivity Analysis to Detect Unintended Model Biases.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Detecting Institutional Dialog Acts in Police Traffic Stops.
Trans. Assoc. Comput. Linguistics, 2018

Power Networks: A Novel Neural Architecture to Predict Power Relations.
CoRR, 2018

Socially Responsible NLP.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

RtGender: A Corpus for Studying Differential Responses to Gender.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Power Networks: A Novel Neural Architecture to Predict Power Relations.
Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2018

2017

Dialog Structure Through the Lens of Gender, Gender Environment, and Power.
Dialogue Discourse, 2017

Computational Argumentation Quality Assessment in Natural Language.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
How Powerful are You?: gSPIN: Bringing Power Analysis to Your Finger Tips.
Proceedings of the 25th International Conference on World Wide Web, 2016

A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
A New Dataset and Evaluation for Belief/Factuality.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

Learning Structures of Negations from Flat Annotations.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

2014
Gender and Power: How Gender and Gender Environment Affect Manifestations of Power.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Staying on Topic: An Indicator of Power in Political Debates.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Predicting Power Relations between Participants in Written Dialog from a Single Thread.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

2013
Power dynamics in spoken interactions: a case study on 2012 republican primary debates.
Proceedings of the 22nd International World Wide Web Conference, 2013

Improving the Quality of Minority Class Identification in Dialog Act Tagging.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012
Predicting Overt Display of Power in Written Dialogs.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Annotations for Power Relations on Email Threads.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Relation Mining in the Biomedical Domain using Entity-level Semantics.
Proceedings of the ECAI 2012, 2012

Who's (Really) the Boss? Perception of Situational Power in Written Interactions.
Proceedings of the COLING 2012, 2012

Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing.
Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012

2010
Uncertainty Learning Using SVMs and CRFs.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

Automatic Committed Belief Tagging.
Proceedings of the COLING 2010, 2010

2009
Committed Belief Annotation and Tagging.
Proceedings of the Third Linguistic Annotation Workshop, 2009


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