How Values and Uncertainty Shape Scientific Advance in Peer Review
Daniel Scott Smith, Neha Nayak Kennard, Tianyu Du, and Daniel A. McFarland
American Sociological Review, 2025 [code] [doi]

Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies
Raymond Zhang, Neha Nayak Kennard, Daniel Smith, Daniel McFarland, Andrew McCallum, and Katherine Keith
ACL Findings, 2023 [code] [doi]

DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions
Neha Nayak Kennard, Tim O’Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, and Andrew McCallum
NAACL 2022 [code] [doi]

To Plan or not to Plan? Discourse Planning in Slot-Value Informed Sequence to Sequence Models for Language Generation
Neha Nayak, Dilek Hakkani-Tür, Marilyn Walker, and Larry Heck
INTERSPEECH 2017 [poster] [doi]

Combining Natural Logic and Shallow Reasoning for Question Answering
Gabor Angeli, Neha Nayak, and Christopher D. Manning
ACL 2016 [code] [doi]

Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
Neha Nayak, Gabor Angeli, and Christopher D. Manning
1st Workshop on Evaluating Vector-Space Representations for NLP, 2016 [code] [slides] [doi]

Building a Conversational Agent Overnight with Dialogue Self-Play
Pararth Shah, Dilek Hakkani-Tür, Gokhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak and Larry Heck
CoRR, 2018 [doi]

Learning hypernymy over word embeddings
Neha Nayak
2015

A Dictionary of Nonsubsective Adjectives
Neha Nayak, Mark Kowarsky, Gabor Angeli, and Christopher D. Manning
2014