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.
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]
"Thumbs up? Sentiment Classification using Machine Learning Techniques" (2002) by Bo Pang (Cornell CS PhD 2006), Lillian Lee and Shivakumar Vaithyanathan (IBM) nominated for inaugural Test-of-Time Paper on Computational Linguistics, spanning all ACL conferecens between 2002-2012 [February 2018]
Justine Zhang won a Microsoft PhD Fellowship. Her research on modeling complex conversational dynamics was highlighted as "bringing insight to how conversations shape everything from political outcomes to community identities." [February 2018]