Question-Answering: CNLP at TREC-10 Question Answering TrackText Retrieval Conference
Document TypeConference Paper
EditorE.M. Voorhees and D.K. Harman
PublisherCenter for Natural Language Processing
AbstractThis 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.
Citation InformationChen, 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.