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Nitish Gupta
Nitish Gupta
Research Scientist, Google AI
Verified email at google.com - Homepage
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Cited by
Cited by
Year
Evaluating NLP Models via Contrast Sets
M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ...
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
223*2020
Entity Linking via Joint Encoding of Types, Descriptions, and Context
N Gupta, S Singh, D Roth
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2017 …, 2017
1952017
Neural Module Networks for Reasoning over Text
N Gupta, K Lin, D Roth, S Singh, M Gardner
The International Conference on Learning Representations (ICLR) 2020, 2020
882020
Joint Multilingual Supervision for Cross-Lingual Entity Linking
S Upadhyay, N Gupta, D Roth
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2018, 2018
402018
Obtaining Faithful Interpretations from Compositional Neural Networks
S Subramanian, B Bogin, N Gupta, T Wolfson, S Singh, J Berant, ...
Association for Computational Linguistics (ACL) 2020, 2020
322020
Improving Compositional Generalization in Semantic Parsing
I Oren, J Herzig, N Gupta, M Gardner, J Berant
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
312020
Revisiting the Evaluation for Cross Document Event Coreference
DR Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos
Computational Linguistics (COLING) 2016, 2016
21*2016
Robust Named Entity Recognition with Truecasing Pretraining
S Mayhew, N Gupta, D Roth
Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2020
202020
Neural Compositional Denotational Semantics for Question Answering
N Gupta, M Lewis
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2018, 2018
192018
Collectively Embedding Multi-Relational Data for Predicting User Preferences
N Gupta, S Singh
arXiv preprint arXiv:1504.06165, 2015
112015
Overestimation of Syntactic Representationin Neural Language Models
J Kodner, N Gupta
Association for Computational Linguistics (ACL) 2020, 2020
62020
UI CCG TAC-KBP2017 submissions: Entity discovery and linking, and event nugget detection and co-reference
C Duncan, LW Chan, H Peng, H Wu, S Upadhyay, N Gupta, CT Tsai, ...
TAC, 2017
52017
What do we expect from Multiple-choice QA Systems?
K Shah, N Gupta, D Roth
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
32020
Enforcing Consistency in Weakly Supervised Semantic Parsing
N Gupta, S Singh, M Gardner
Association for Computational Linguistics (ACL) 2021, 2021
22021
Paired examples as indirect supervision in latent decision models
N Gupta, S Singh, M Gardner, D Roth
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021, 2021
22021
Collective Factorization for Relational Data: An Evaluation on the Yelp Datasets
N Gupta, S Singh
Technical report, Technical report, Yelp Dataset Challenge, Round 4, 2015
22015
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
W Chen, WW Cohen, M De Jong, N Gupta, A Presta, P Verga, J Wieting
arXiv preprint arXiv:2207.00630, 2022
2022
Learning to Compositionally Reason over Natural Language
N Gupta
University of Pennsylvania, 2021
2021
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