Vinodkumar Prabhakaran

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 78

Top Topics

Language Modeling

Image Generation

Natural Language

Top Venues

Publications

Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev, Shachi Dave, Vinodkumar Prabhakaran
GeniL: A Multilingual Dataset on Generalizing Language. CoRR (2024)
Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. CoRR (2024)
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)
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 (2024)
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 (2024)
Daniel A. McFarland, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky
Coming into relations: How communication reveals and persuades relational decisions. Soc. Networks 79 (2024)
Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. CoRR (2024)
Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. FAccT (2024)
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)
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 (2024)
Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR (2023)
Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-Garcia, Vinodkumar Prabhakaran, Ding Wang
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR (2023)
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 (2023)
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
MD3: The Multi-Dialect Dataset of Dialogues. CoRR (2023)
Christopher M. Homan, Greg Serapio-Garcia, 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 (2023)
Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR (2023)
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 (2023)
Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. CoRR (2023)
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
MD3: The Multi-Dialect Dataset of Dialogues. INTERSPEECH (2023)
Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Melissa Ferguson, Stav Atir
Distinguishing Address vs. Reference Mentions of Personal Names in Text. ACL (Findings) (2023)
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 (2023)
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 (2023)
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)
Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. CoRR (2023)
Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. NeurIPS (2023)
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)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. FAccT (2022)
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 Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, Quoc Le
LaMDA: Language Models for Dialog Applications. CoRR (2022)
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)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR (2022)
Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
Underspecification in Scene Description-to-Depiction Tasks. CoRR (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) (2022)
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)
Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel
A Human Rights-Based Approach to Responsible AI. CoRR (2022)
Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson
Cultural Incongruencies in Artificial Intelligence. CoRR (2022)
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 (2022)
Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
Underspecification in Scene Description-to-Depiction Tasks. AACL/IJCNLP (1) (2022)
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 (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Re-contextualizing Fairness in NLP: The Case of India. CoRR (2022)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. CoRR (2022)
Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. Trans. Assoc. Comput. Linguistics 10 (2022)
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)
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 (2022)
Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. ICWSM (2021)
Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR (2021)
Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz
On Releasing Annotator-Level Labels and Information in Datasets. CoRR (2021)
Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. CoRR (2021)
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
Re-imagining Algorithmic Fairness in India and Beyond. FAccT (2021)
Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. CoRR (2021)
Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection. CoRR (2021)
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
Re-imagining Algorithmic Fairness in India and Beyond. CoRR (2021)
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
Learning to Recognize Dialect Features. NAACL-HLT (2021)
Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. W-NUT (2021)
Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran
Cross-geographic Bias Detection in Toxicity Modeling. CoRR (2021)
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran
Non-portability of Algorithmic Fairness in India. CoRR (2020)
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)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR (2020)
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 (2020)
Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. WOAH (2020)
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 (2020)
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
Learning to Recognize Dialect Features. CoRR (2020)
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 (2020)
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. EMNLP/IJCNLP (1) (2019)
Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt
Socially Responsible Natural Language Processing. WWW (Companion Volume) (2019)
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. CoRR (2019)
Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt
Socially Responsible NLP. NAACL-HLT (Tutorial Abstracts) (2018)
Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. CoRR (2018)
Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. NAACL-HLT (2018)
Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov
RtGender: A Corpus for Studying Differential Responses to Gender. LREC (2018)
Michelle Lam, Catherina Xu, Vinodkumar Prabhakaran
Power Networks: A Novel Neural Architecture to Predict Power Relations. LaTeCH@COLING (2018)
Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer Eberhardt, Dan Jurafsky
Detecting Institutional Dialog Acts in Police Traffic Stops. Trans. Assoc. Comput. Linguistics 6 (2018)
Michelle Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran
Power Networks: A Novel Neural Architecture to Predict Power Relations. CoRR (2018)
Vinodkumar Prabhakaran, Owen Rambow
Dialog Structure Through the Lens of Gender, Gender Environment, and Power. Dialogue Discourse 8 (2) (2017)
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)
Vinodkumar Prabhakaran, Owen Rambow
Dialog Structure Through the Lens of Gender, Gender Environment, and Power. CoRR (2017)
Vinodkumar Prabhakaran, Michael Saltzman, Owen Rambow
How Powerful are You?: gSPIN: Bringing Power Analysis to Your Finger Tips. WWW (Companion Volume) (2016)
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)
Vinodkumar Prabhakaran, Owen Rambow
A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels. LREC (2016)
Vinodkumar Prabhakaran, Branimir Boguraev
Learning Structures of Negations from Flat Annotations. *SEM@NAACL-HLT (2015)
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 (2015)
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)
Vinodkumar Prabhakaran, Emily E. Reid, Owen Rambow
Gender and Power: How Gender and Gender Environment Affect Manifestations of Power. EMNLP (2014)
Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow
Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates. LTCSS@ACL (2014)
Vinodkumar Prabhakaran, Ashima Arora, Owen Rambow
Staying on Topic: An Indicator of Power in Political Debates. EMNLP (2014)
Vinodkumar Prabhakaran, Owen Rambow
Predicting Power Relations between Participants in Written Dialog from a Single Thread. ACL (2) (2014)
Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann
Power dynamics in spoken interactions: a case study on 2012 republican primary debates. WWW (Companion Volume) (2013)
Vinodkumar Prabhakaran, Ajita John, Dorée D. Seligmann
Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power. IJCNLP (2013)
Vinodkumar Prabhakaran, Owen Rambow
Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior. IJCNLP (2013)
Adinoyi Omuya, Vinodkumar Prabhakaran, Owen Rambow
Improving the Quality of Minority Class Identification in Dialog Act Tagging. HLT-NAACL (2013)
Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab
Predicting Overt Display of Power in Written Dialogs. HLT-NAACL (2012)
Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab
Who's (Really) the Boss? Perception of Situational Power in Written Interactions. COLING (2012)
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)
Vinodkumar Prabhakaran, Huzaifa Neralwala, Owen Rambow, Mona T. Diab
Annotations for Power Relations on Email Threads. LREC (2012)
Kateryna Tymoshenko, Swapna Somasundaran, Vinodkumar Prabhakaran, Vinay D. Shet
Relation Mining in the Biomedical Domain using Entity-level Semantics. ECAI (2012)
Vinodkumar Prabhakaran
Uncertainty Learning Using SVMs and CRFs. CoNLL Shared Task (2010)
Vinodkumar Prabhakaran, Owen Rambow, Mona T. Diab
Automatic Committed Belief Tagging. COLING (Posters) (2010)
Mona T. Diab, Lori S. Levin, Teruko Mitamura, Owen Rambow, Vinodkumar Prabhakaran, Weiwei Guo
Committed Belief Annotation and Tagging. Linguistic Annotation Workshop (2009)