Prof. Janyce Wiebe, University of Pittsburgh
Friday, November 7, 11:00 AM to 12:30 PM
Location: E2-475
Hosted By Marilyn Walker
Implicature in Opinion Analysis
While previous sentiment analysis research has concentrated on the
interpretation of explicitly stated opinions and attitudes, this work
addresses the computational study of a type of opinion implicature
(i.e., opinion-oriented inference) in text. This talk will describe a
framework for representing and analyzing opinion implicatures which
promises to contribute to deeper automatic interpretation of
subjective language. In the course of understanding implicatures, the
system recognizes implicit sentiments (and beliefs) toward various
events and entities in the sentence, often attributed to different
sources (holders) and of mixed polarities; thus, it produces a richer
interpretation than is typical in opinion analysis.
Bio - Janyce Wiebe
Janyce Wiebe is Professor of Computer Science and Co-Director of the
Intelligent Systems Program at the University of Pittsburgh. Her
research with students and colleagues has been in discourse
processing, pragmatics, and word-sense disambiguation. A major
concentration of her 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. Her professional
roles have included ACL Program Co-Chair; NAACL Program Chair; NAACL
Executive Board member; TACL Action Editor; Computational Linguistics and Language
Resources and Evaluation Editorial Board member; AAAI Workshop
Co-Chair, ACM Special Interest Group on Artificial Intelligence
(SIGART) Vice-Chair, and ACM-SIGART/AAAI Doctoral Consortium Chair.
She received her PhD in Computer Science from the State University of
New York at Buffalo, and later was a Post-Doctoral Fellow at the
University of Toronto.