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2020 – today
- 2024
[j6]Daniel A. McFarland
, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky:
Coming into relations: How communication reveals and persuades relational decisions. Soc. Networks 79: 57-75 (2024)- [c48]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) 2024: 12333-12347 - [c47]Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. FAccT 2024: 2007-2021 - [c46]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García:
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT 2024: 3473-3492 - [i43]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR abs/2401.06310 (2024) - [i42]Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev:
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. CoRR abs/2403.05696 (2024) - [i41]Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev, Shachi Dave, Vinodkumar Prabhakaran:
GeniL: A Multilingual Dataset on Generalizing Language. CoRR abs/2404.05866 (2024) - [i40]Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. CoRR abs/2404.10857 (2024) - [i39]Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave:
Beyond Aesthetics: Cultural Competence in Text-to-Image Models. CoRR abs/2407.06863 (2024) - [i38]Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac:
(Unfair) Norms in Fairness Research: A Meta-Analysis. CoRR abs/2407.16895 (2024) - 2023
- [j5]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [c45]Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Melissa Ferguson, Stav Atir:
Distinguishing Address vs. Reference Mentions of Personal Names in Text. ACL (Findings) 2023: 6801-6809 - [c44]Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev:
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. ACL (1) 2023: 9851-9870 - [c43]Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma:
MD3: The Multi-Dialect Dataset of Dialogues. INTERSPEECH 2023: 4059-4063 - [c42]Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS 2023 - [c41]Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran:
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. NeurIPS 2023 - [i37]Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR abs/2301.09406 (2023) - [i36]Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma:
MD3: The Multi-Dialect Dataset of Dialogues. CoRR abs/2305.11355 (2023) - [i35]Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev:
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. CoRR abs/2305.11840 (2023) - [i34]Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR abs/2306.11247 (2023) - [i33]Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. CoRR abs/2306.11530 (2023) - [i32]Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran:
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. CoRR abs/2307.10514 (2023) - [i31]Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav:
A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. CoRR abs/2311.04345 (2023) - [i30]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang:
A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR abs/2311.05074 (2023) - [i29]Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran:
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR abs/2311.17259 (2023) - [i28]Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. CoRR abs/2312.06861 (2023) - 2022
- [j4]Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran:
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. Trans. Assoc. Comput. Linguistics 10: 92-110 (2022) - [c40]Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed:
Power to the People? Opportunities and Challenges for Participatory AI. EAAMO 2022: 6:1-6:8 - [c39]Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. FAccT 2022: 1859-1876 - [c38]Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton:
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. FAccT 2022: 2342-2351 - [c37]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) 2022: 727-740 - [c36]Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran:
Underspecification in Scene Description-to-Depiction Tasks. AACL/IJCNLP (1) 2022: 1172-1184 - [c35]Jennifer Tracey, Owen Rambow, Claire Cardie, Adam Dalton, Hoa Trang Dang, Mona T. Diab, Bonnie J. Dorr, Louise Guthrie, Magdalena Markowska, Smaranda Muresan, Vinodkumar Prabhakaran, Samira Shaikh, Tomek Strzalkowski:
BeSt: The Belief and Sentiment Corpus. LREC 2022: 2460-2467 - [i27]Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le:
LaMDA: Language Models for Dialog Applications. CoRR abs/2201.08239 (2022) - [i26]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - [i25]Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. CoRR abs/2205.05256 (2022) - [i24]Mark Diaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton:
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. CoRR abs/2206.08931 (2022) - [i23]Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed:
Power to the People? Opportunities and Challenges for Participatory AI. CoRR abs/2209.07572 (2022) - [i22]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Re-contextualizing Fairness in NLP: The Case of India. CoRR abs/2209.12226 (2022) - [i21]Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel:
A Human Rights-Based Approach to Responsible AI. CoRR abs/2210.02667 (2022) - [i20]Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran:
Underspecification in Scene Description-to-Depiction Tasks. CoRR abs/2210.05815 (2022) - [i19]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR abs/2211.11206 (2022) - [i18]Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson:
Cultural Incongruencies in Artificial Intelligence. CoRR abs/2211.13069 (2022) - 2021
- [c34]Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran:
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. W-NUT 2021: 313-328 - [c33]Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran:
Re-imagining Algorithmic Fairness in India and Beyond. FAccT 2021: 315-328 - [c32]Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova:
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. ICWSM 2021: 503-512 - [c31]Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein:
Learning to Recognize Dialect Features. NAACL-HLT 2021: 2315-2338 - [i17]Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran:
Re-imagining Algorithmic Fairness in India and Beyond. CoRR abs/2101.09995 (2021) - [i16]Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova:
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. CoRR abs/2104.03928 (2021) - [i15]Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran:
Cross-geographic Bias Detection in Toxicity Modeling. CoRR abs/2104.06999 (2021) - [i14]Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz:
On Releasing Annotator-Level Labels and Information in Datasets. CoRR abs/2110.05699 (2021) - [i13]Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran:
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. CoRR abs/2110.05719 (2021) - [i12]Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran:
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR abs/2112.03057 (2021) - [i11]Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen:
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. CoRR abs/2112.04554 (2021) - 2020
- [j3]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Unintended machine learning biases as social barriers for persons with disabilitiess. ACM SIGACCESS Access. Comput. 125: 9 (2020) - [c30]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Social Biases in NLP Models as Barriers for Persons with Disabilities. ACL 2020: 5491-5501 - [c29]Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen:
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. WOAH 2020: 1-6 - [e2]Seyi Akiwowo, Bertie Vidgen, Vinodkumar Prabhakaran, Zeerak Waseem:
Proceedings of the Fourth Workshop on Online Abuse and Harms, WOAH 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-79-8 [contents] - [i10]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR abs/2005.00813 (2020) - [i9]Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac:
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics. CoRR abs/2005.07572 (2020) - [i8]Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac:
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context. CoRR abs/2006.09663 (2020) - [i7]Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein:
Learning to Recognize Dialect Features. CoRR abs/2010.12707 (2020) - [i6]Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran:
Non-portability of Algorithmic Fairness in India. CoRR abs/2012.03659 (2020)
2010 – 2019
- 2019
- [c28]Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell:
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. EMNLP/IJCNLP (1) 2019: 5739-5744 - [c27]Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt:
Socially Responsible Natural Language Processing. WWW (Companion Volume) 2019: 1326 - [i5]Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell:
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. CoRR abs/1910.04210 (2019) - 2018
- [j2]Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer L. Eberhardt, Dan Jurafsky:
Detecting Institutional Dialog Acts in Police Traffic Stops. Trans. Assoc. Comput. Linguistics 6: 467-481 (2018) - [c26]Michelle Lam, Catherina Xu, Vinodkumar Prabhakaran:
Power Networks: A Novel Neural Architecture to Predict Power Relations. LaTeCH@COLING 2018: 97-102 - [c25]Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov:
RtGender: A Corpus for Studying Differential Responses to Gender. LREC 2018 - [c24]Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt:
Socially Responsible NLP. NAACL-HLT (Tutorial Abstracts) 2018: 24-26 - [c23]Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow:
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. NAACL-HLT 2018: 1057-1068 - [e1]Darja Fiser, Ruihong Huang, Vinodkumar Prabhakaran, Rob Voigt, Zeerak Waseem, Jacqueline Wernimont:
Proceedings of the 2nd Workshop on Abusive Language Online, ALW@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-68-1 [contents] - [i4]Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow:
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. CoRR abs/1805.06016 (2018) - [i3]Michelle Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran:
Power Networks: A Novel Neural Architecture to Predict Power Relations. CoRR abs/1807.06557 (2018) - 2017
- [j1]Vinodkumar Prabhakaran, Owen Rambow:
Dialog Structure Through the Lens of Gender, Gender Environment, and Power. Dialogue Discourse 8(2): 21-55 (2017) - [c22]Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, Benno Stein:
Computational Argumentation Quality Assessment in Natural Language. EACL (1) 2017: 176-187 - [d1]Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, Benno Stein:
Dagstuhl-15512-ArgQuality. Zenodo, 2017
- [i2]Vinodkumar Prabhakaran, Owen Rambow:
Dialog Structure Through the Lens of Gender, Gender Environment, and Power. CoRR abs/1706.03441 (2017) - 2016
- [c21]Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky:
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) 2016 - [c20]Vinodkumar Prabhakaran, Owen Rambow:
A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels. LREC 2016 - [c19]Vinodkumar Prabhakaran, Michael Saltzman, Owen Rambow:
How Powerful are You?: gSPIN: Bringing Power Analysis to Your Finger Tips. WWW (Companion Volume) 2016: 239-242 - 2015
- [c18]Vinodkumar Prabhakaran, Branimir Boguraev:
Learning Structures of Negations from Flat Annotations. *SEM@NAACL-HLT 2015: 71-81 - [c17]Vinodkumar Prabhakaran, Tomas By, Julia Hirschberg, Owen Rambow, Samira Shaikh, Tomek Strzalkowski, Jennifer Tracey, Michael Arrigo, Rupayan Basu, Micah Clark, Adam Dalton, Mona T. Diab, Louise Guthrie, Anna Prokofieva, Stephanie M. Strassel, Gregory Werner, Yorick Wilks, Janyce Wiebe:
A New Dataset and Evaluation for Belief/Factuality. *SEM@NAACL-HLT 2015: 82-91 - [i1]Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme:
Statistical modality tagging from rule-based annotations and crowdsourcing. CoRR abs/1503.01190 (2015) - 2014
- [c16]Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow:
Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates. LTCSS@ACL 2014: 49 - [c15]Vinodkumar Prabhakaran, Owen Rambow:
Predicting Power Relations between Participants in Written Dialog from a Single Thread. ACL (2) 2014: 339-344 - [c14]Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow:
Staying on Topic: An Indicator of Power in Political Debates. EMNLP 2014: 1481-1486 - [c13]Vinodkumar Prabhakaran, Emily E. Reid, Owen Rambow:
Gender and Power: How Gender and Gender Environment Affect Manifestations of Power. EMNLP 2014: 1965-1976 - 2013
- [c12]Vinodkumar Prabhakaran, Owen Rambow:
Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior. IJCNLP 2013: 216-224 - [c11]Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann:
Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power. IJCNLP 2013: 365-373 - [c10]Adinoyi Omuya, Vinodkumar Prabhakaran, Owen Rambow:
Improving the Quality of Minority Class Identification in Dialog Act Tagging. HLT-NAACL 2013: 802-807 - [c9]Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann:
Power dynamics in spoken interactions: a case study on 2012 republican primary debates. WWW (Companion Volume) 2013: 99-100 - 2012
- [c8]Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme:
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. ExProM@ACL 2012: 57-64 - [c7]Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab:
Who's (Really) the Boss? Perception of Situational Power in Written Interactions. COLING 2012: 2259-2274 - [c6]Kateryna Tymoshenko, Swapna Somasundaran, Vinodkumar Prabhakaran, Vinay D. Shet:
Relation Mining in the Biomedical Domain using Entity-level Semantics. ECAI 2012: 780-785 - [c5]Vinodkumar Prabhakaran, Huzaifa Neralwala, Owen Rambow, Mona T. Diab:
Annotations for Power Relations on Email Threads. LREC 2012: 806-811 - [c4]Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab:
Predicting Overt Display of Power in Written Dialogs. HLT-NAACL 2012: 518-522 - 2010
- [c3]Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab:
Automatic Committed Belief Tagging. COLING (Posters) 2010: 1014-1022 - [c2]Vinodkumar Prabhakaran:
Uncertainty Learning Using SVMs and CRFs. CoNLL Shared Task 2010: 132-137
2000 – 2009
- 2009
- [c1]Mona T. Diab, Lori S. Levin, Teruko Mitamura, Owen Rambow, Vinodkumar Prabhakaran, Weiwei Guo:
Committed Belief Annotation and Tagging. Linguistic Annotation Workshop 2009: 68-73
Coauthor Index
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