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Article
Question-Answering: CNLP at TREC-10 Question Answering Track
Text Retrieval Conference
  • J. Chen
  • Anne R. Diekema, Utah State University
  • M. D. Taffet
  • N. McCracken
  • N. E. Ozgencil
  • O. Yilmazel
  • E. D. Liddy
Document Type
Conference Paper
Editor
E.M. Voorhees and D.K. Harman
Publisher
Center for Natural Language Processing
Publication Date
1-1-2001
Abstract
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questionanswering track. The question answering system described automatically finds answers to questions in a large document collection. The system uses a two-stage retrieval approach to answer finding based on matching of named entities, linguistic patterns, and keywords. In answering a question, the system carries out a detailed query analysis that produces a logical query representation, an indication of the question focus, and answer clue words.
Comments
Originally published by the Center for Natural Language Processing (CNLP). Publisher's PDF available through remote link. Must click on corresponding article.
Citation Information
Chen, J., Diekema, A.R., Taffet, M. D., McCracken, N., Ozgencil, N. E., Yilmazel, O., and Liddy, E. D. Question-Answering: CNLP at TREC-10 Question Answering Track. In: Proceedings of the Tenth Text Retrieval Conference (TREC-2001). E.M. Voorhees and D.K. Harman (Eds.). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology, 2001.