text mining and NLP applications
text clustering and categorization
information extraction
coreference resolution
morphology and part-of-speech tagging| Associate Professor, Computer Science Department Member, Human Language Technology Research Institute B.S. in Computer Science, Carnegie Mellon University Ph.D. in Computer Science, Cornell University Contact InformationOffice hours for Spring 2012: (ends on May 2nd)Mondays and Wednesdays 12:50-1:15 PM, 8:20-8:45 PM Office: ECSS 3.404 Phone: 972-883-4581 (office), 972-883-2349 (fax) Email: vince at hlt dot utdallas dot edu Postal address: Computer Science Department |
My general research area is machine learning of natural language. My recent projects have focused primarily on developing unsupervised and semi-supervised machine learning techniques for natural language processing, with the goal of reducing the amount of annotated data needed to build NLP applications and process resource-scarce languages. Areas in which my students and I have been working include:
text mining and NLP applications
text clustering and categorization
information extraction
coreference resolution
morphology and part-of-speech taggingMore recently, I have collaborated with other research groups and worked on non-NLP problems. I am particularly interested in developing and applying search and learning techniques to computational problems that arise in areas such as:
AI planning
health informatics
Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution.
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback.
Cause Identification from Aviation Safety Incident Reports via Weakly Supervised Semantic Lexicon Construction.
Towards Subjectifying Text Clustering.
