Question-Answering: CNLP at TREC-10 Question Answering Track

Authors

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

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.

Recommended Citation

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.