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.
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]
Alane Suhr awarded an NSF Graduate Research Fellowship [April 2018]
"Thumbs up? Sentiment Classification using Machine Learning Techniques" (2002) by Bo Pang (Cornell CS PhD 2006), Lillian Lee and Shivakumar Vaithyanathan (IBM) receives the inaugural Computational Linguistics Test-of-Time Award [March 2018]