My research areas are artificial intelligence and natural language processing (NLP). My research with students and colleagues has been in discourse processing, pragmatics, and word-sense disambiguation. A major concentration of our research is "subjectivity analysis", recognizing and interpretating expressions of opinions and sentiments in text, to support NLP applications such as question answering, information extraction, text categorization, and summarization.

A new version of the MPQA corpus was released January 2009 which includes attitude annotations (such as positive and negative sentiments and arguing) as well as target span annotations. Both versions are available at the resources link below.

Click here for publications

Bibliography of work in subjectivity and sentiment analysis: .bib file

Click HERE for downloadable resources, including the MPQA opinion annotated corpus, OpinionFinder system, subjectivity lexicon, including prior polarity/sentiment annotations, and subjectivity sense annotations