Cindi Thompson

Adjunct Assistant Professor
School of Computing
University of Utah

Professor Thompson joined the School of Computing in August 2000 and stayed until the summer of 2004. She is now working at the Center for Advanced Research at PricewaterhouseCoopers. Her research interests include artificial intelligence, machine learning, and natural language processing.

Selected Publications

  • A Generative Model for FrameNet Semantic Role Labeling Cynthia A. Thompson, Roger Levy, and Christopher Manning
    Proceedings of the Fourteenth European Conference on Machine Learning Croatia, 2003.

  • Clustering Similar Clauses using Context Dominic Jones and Cynthia Thompson
    Seventh Conference on Natural Language Learning, Edmonton, Canada, 2003.

  • Acquiring Word-Meaning Mappings for Natural Language Interfaces Cynthia Thompson and Ray Mooney
    Journal of Artificial Intelligence Research.18:1-44 (2003)

  • Personalized Conversational Case-Based Recommendation Mehmet Goker and Cynthia Thompson
    Proceedings of the 5th European Workshop on Case Based Reasoning , Trento, Italy, September 2000.

  • Active Learning for Natural Language Parsing and Information Extraction Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney
    Proceedings of the Sixteenth International Machine Learning Conference, Bled, Slovenia, June 1999. (ICML-99)

  • Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces Cynthia A. Thompson and Raymond J. Mooney
    Proceedings of the Sixteenth National Conference on Artificial Intelligence, Orlando, FL, July, 1999. (AAAI-99)

    More Publications

    Misc. Pointers

  • A list of every computer science conference imaginable

  • Wilson has compiled a great list of Resources on Academia

    Background

    Before coming to Utah, I was a postdoctoral fellow at CSLI. My Ph.D. research at the University of Texas at Austin was on corpus-based lexicon acquisition, and resulted in a system called WOLFIE (WOrd Learning From Interpreted Examples). The overall goal is to learn to produce a deep semantic representation from a natural language sentence. This research can support machine learning for many other language processing tasks, such as translation and query processing. More details on work related to my Ph.D. (including CHILL) can be found at the Machine Learning Group's home page at the University of Texas of Austin. My Master's Thesis was on a system that learned abductive rules suitable for use in a diagnostic expert system.

    Cynthia A. Thompson

    Tel (408) 817-7408
    PricewaterhouseCoopers LLP
    Ten Almaden Blvd., Suite 1600
    San Jose, CA 95113

    Email: I have put this in text format to discourage bots:

    cindi at cs dot utah dot edu