Nitish Gupta

nitish 

Third Year PhD Student,
Department of Computer and Information Sciences,
University of Pennsylvania, Philadelphia

Email: gnnitish@gmail.com
Github: github.com/nitishgupta

Research Interests: Large-Scale Neural Models for NLP, especially Information Extration

About Me

I'm a Third Year PhD Student in Computer and Information Sciences at University of Pennsylvania advised by Prof.Prof. Dan Roth in the Cognitive Computation Group (CCG). I am also advised by the amazing Prof. Sameer Singh, UC Irvine.

My research focus is on machine learning models for information extraction from natural language, mostly using distant, indirect supervision. I am interested in unified models for representation, reasoning and inference over structured knowledge bases and unstructured plain text containing natural language.

I was fortunate to work as a Research Intern at Facebook AI Research with Mike Lewis on Compositional Models for Knowledge-Graph Question Answering. I also interned at Google Research and Machine Intelligence, MTV in Summer 2016 where I worked on developing neural models for understanding various aspects of user-generated text.
I am interested in unified models for representation, reasoning and inference over structured knowledge bases and unstructured plain text.

Publications

  • Entity Linking via Joint Encoding of Types, Description and Context
    Nitish Gupta, Sameer Singh, Dan Roth
    EMNLP ’17
    [Paper] [Code]

  • Revisiting the Evaluation for Cross Document Event Coreference
    Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth
    CoNLL ’16
    [Paper]

  • Collectively Embedding Multi-Relational Data for Predicting User Preferences
    Nitish Gupta, Sameer Singh
    arXiv Preprint ’15
    [Paper] [Code]