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Question Answering: CNLP at the TREC-10 Question Answering Track
School of Information Studies: Faculty Scholarship
  • Jiangping Chen, Syracuse University
  • Anne R. Diekema, Utah State University
  • Mary D. Taffet, Syracuse University
  • Nancy McCracken, Syracuse University
  • Necati Ercan Ozgencil, Syracuse University
Document Type
  • CNPL,
  • TREC-10 Question Answering Track,
  • linguistic patterns,
  • keywords,
  • query analysis
This paper describes the retrieval experiments for the main task and list task of the TREC-10 question answering 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.
Additional Information

Additional authors listed in the paper

Citation Information
Jiangping Chen, Anne R. Diekema, Mary D. Taffet, Nancy McCracken, et al.. "Question Answering: CNLP at the TREC-10 Question Answering Track" (2000)
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Creative Commons License
Creative Commons Attribution 3.0