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Nitish Gupta: CV

(Last updated May 04, 2020)

My CV is also available as a pdf file.


Education

PhD in Computer Science
University of Pennsylvania, Philadelphia, USA
Thesis:Structured and Modular approaches for Language Understanding.
Advisors:Dan Roth and Sameer Singh.
May 2021 (tentative)
Masters of Technology, Electrical Engineering
Indian Institute of Technology, Kanpur, India
Thesis:Neural Document Representations for Text Classification.
Advisors:Harish Karnick.
May 2015
Bachelors of Technology, Electrical Engineering
Indian Institute of Technology, Kanpur, India
May 2014

Employment

Research Intern
Google, New York City, NY
May 2019-August 2019
Research Intern
Facebook AI Research, Menlo Park, CA
May 2017-August 2017
Research Intern
Google, Mountain View, CA
May 2016-August 2016
Visiting Scholar
University of Washington, Seattle, WA
May 2014-August 2014
Undergraduate Intern
Philips Healthcare, Bangalore, India
May 2013-August 2013
Undergraduate Researcher
Max Planck Institute for Informatics, Sarrbrucken, Germany
May 2012-August 2012

Publications

Refereed conference papers (most have acceptance rates ≈ 25%)

  1. Sanjay Subramanian*, Ben Bogin*, Nitish Gupta*, Tomer Wolfson, Sameer Singh, Jonathan Berant and Matt Gardner (2020). Obtaining Faithful Interpretations from Compositional Neural Networks. Association for Computational Linguistics (ACL) 2020.
  2. Jordan Kodner and Nitish Gupta (2020). Overestimation of Syntactic Representation in Neural Language Models. Association for Computational Linguistics (ACL) 2020.
  3. Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh and Matt Gardner (2020). Neural Module Networks for Reasoning over Text. International Conference on Learning Representations (ICLR) 2020.
  4. Stephen Mayhew, Nitish Gupta and Dan Roth (2020). Robust Named Entity Recognition with Truecasing Pretraining. AAAI 2020.
  5. Nitish Gupta and Mike Lewis (2018). Neural Compositional Denotational Semantics for Question Answering. EMNLP 2018.
  6. Shyam Upadhyay, Nitish Gupta and Dan Roth (2018). Joint Multilingual Supervision for Cross-lingual Entity Linking. EMNLP 2018.
  7. Nitish Gupta, Sameer Singh and Dan Roth (2017). Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP 2017.
  8. Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos and Dan Roth (2016). Revisiting the Evaluation for Cross Document Event Coreference. COLING 2016.

Pre-print

  1. Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou (2020). Evaluating NLP Models via Contrast Sets. arXiv 2020.
  2. Nitish Gupta and Sameer Singh (2015). Collectively Embedding Multi-Relational Data for Predicting User Preferences. ArXiv 2015. Winner, Yelp Dataset Challenge 2015.


Academic Service


Teaching Assistant

Computational Linguistics (CIS 521)
University of Pennsylvania
Spring 2018
Commonsense Reasoning (CIS 700)
University of Pennsylvania
Spring 2019