2020

  1. Neural Module Networks for Reasoning over Text Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, and Matt Gardner In International Conference for Learning Representations (ICLR) 2020 [Abstract] [arXiv] [PDF] [Code]
  2. Obtaining Faithful Interpretations from Compositional Neural Networks Sanjay Subramanian*, Ben Bogin*, Nitish Gupta*, Tomer Wolfson, Sameer Singh, Jonathan Berant, and Matt Gardner In Proceedings of the Association for Computational Linguistics (ACL) 2020 [arXiv] [PDF]
  3. Improving Compositional Generalization in Semantic Parsing Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, and Jonathan Berant In Findings of EMNLP 2020
  4. Evaluating NLP Models via Contrast Sets Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, and others In Findings of EMNLP 2020 [arXiv] [Code]
  5. What do we expect from multiple-choice QA Systems? Krunal Shah, Nitish Gupta, and Dan Roth In Findings of EMNLP 2020
  6. Overestimation of Syntactic Representations in Neural Language Models Jordan Kodner, and Nitish Gupta In Proceedings of the Association for Computational Linguistics (ACL) 2020 [arXiv] [PDF]
  7. Robust Named Entity Recognition with Truecasing Pretraining Stephen Mayhew, Nitish Gupta, and Dan Roth In Association for Advacements in Artificial Intelligence (AAAI) 2020 [arXiv] [PDF]

2019

    2018

    1. Neural Compositional Denotational Semantics for Question Answering Nitish Gupta, and Mike Lewis In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing 2018 [arXiv] [PDF]
    2. Joint multilingual supervision for cross-lingual entity linking Shyam Upadhyay, Nitish Gupta, and Dan Roth In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing 2018 [PDF] [Code]

    2017

    1. Entity linking via joint encoding of types, descriptions, and context Nitish Gupta, Sameer Singh, and Dan Roth In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing 2017 [HTML] [PDF] [Code]

    2016

    1. Revisiting the Evaluation for Cross Document Event Coreference Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, and Dan Roth In COLING 2016 [HTML]

    2015

    1. Collectively embedding multi-relational data for predicting user preferences Nitish Gupta, and Sameer Singh arXiv preprint arXiv:1504.06165 2015 Won the Yelp Dataset Challenge Round 4