|Office:||5409 Sennott Square|
Dr. Wiebe’s research areas are artificial intelligence and natural language processing (NLP). Her work with students and colleagues has been in discourse processing, word-sense disambiguation, pragmatics, and probabilistic classification in NLP. Her most recent work investigates automatically recognizing opinionated and evaluative language to support NLP applications such as question answering, information extraction, text categorization, and summarization.
Other projects include temporal reference resolution, event categorization, and an approach to analyzing agreement among human judges in terms of models of interaction, for the purpose of refining the set of annotation classes.
- Artificial intelligence
- Natural language processing/computational linguistics
- Discourse processing
- Lexical semantics
- Subjectivity and sentiment analysis