Cornell NLP

The Cornell Natural Language Processing Group is a diverse team of researchers interested in computational models of human language and machine learning. We apply a computational lens to a broad set of projects in the areas of linguistic analysis, natural language understanding systems, social science, and humanities. We are a cross-campus group located both in Ithaca and the new Tech campus in NYC. The group includes members from the departments of Computer Science, Information Science, and Linguistics.

A small sampling of problems we are interested in are (in alphabetical order): argumentation mining, grounded language learning, information and opinion extraction, lexicon and grammar induction, paraphrase acquisition, situated language understanding, syntactic parsing, question-answering, semantic parsing, sentiment analysis, similarity-based methods, and text summarization.

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Recent News

Yoav Artzi and Mohit Bansal (UNC) receive a Google Focused Research Award [July 2019]

Research on online debates social networks by Esin Durmus and Claire Cardie profiled in the Cornell Chronicle [May 2019]

Ryan Benmalek awarded an NSF Graduate Research Fellowship [April 2019]

Yoav Artzi and Claire Cardie receive 2019 Google Faculty Awards [March 2019]

Lillian Lee named ACM fellow for contributions to natural language processing, sentiment analysis, and computational social science [December 2018]

Jonathan P. Chang and Justine Zhang were interviewed by The Verge and The Cornell Chronicle regarding their work on predicting when conversations will derail into personal attacks. The story was featured on Cornell's homepage and across the popular media [July 2018]

Tianze Shi awarded an inaugural Bloomberg Data Science Fellowship for 2018-2019 [July 2018]