Question Answering: CNLP at the TREC-2002 Question Answering Track

Authors

Anne R. Diekama, Utah State UniversityFollow
J. Chen
N. McCracken
N. E. Ozgencil
M. D. Taffet
O. Yilmazel
E. D. Liddy

Document Type

Conference Paper

Journal/Book Title/Conference

Text Retrieval Conference

Editor

E.M. Voorhees and D.K. Harman

Publisher

Center for Natural Language Processing

Publication Date

2002

Abstract

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.

Comments

Originally published by the Center for Natural Language Processing. PDF available for preview and download through remote link.

Recommended Citation

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.