Question Answering: CNLP at the TREC-2002 Question Answering Track
Originally published by the Center for Natural Language Processing. PDF available for preview and download through remote link.
This paper describes the retrieval experiments for the main task and list task of the TREC-2002 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, keywords, and the use of a new inference module. 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.
Diekema, A.R., Chen, J., McCracken, N, Ozgencil, N.E., Taffet, M.D., Yilmazel, O. and Liddy, E.D. Question Answering: CNLP at the TREC-2002 Question Answering Track. In: Proceedings of the Eleventh Text Retrieval Conference (TREC-2002). E.M. Voorhees and D.K. Harman (Eds.). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology, 2002.