Question Answering : CNLP at the TREC-9 Question Answering Track
Document Type
Conference Paper
Journal/Book Title/Conference
Text Retrieval Conference
Editor
E.M. Voorhees and D.K. Harman
Publication Date
2000
Abstract
This paper describes a question answering system that automatically finds answers to questions in a large collection of documents. The prototype CNLP question answering system was developed for participation in the TREC-9 question answering track. The system uses a two-stage retrieval approach to answer finding based on keyword and named entity matching. Results indicate that the system ranks correct answers high (mostly rank 1), provided that an answer to the question was found. Performance figures and further analyses are included.
Recommended Citation
Diekema, A. Liu, X., Chen, J., Wang, H., McCracken, N., Yilmazel, O., and Liddy, E.D. Question Answering : CNLP at the TREC-9 Question Answering Track. In: Proceedings of the Ninth Text Retrieval Conference (TREC-9). E.M. Voorhees and D.K. Harman (Eds.). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology, 2000.
Comments
Originally published by the Center for Natural Language Processing (CNLP). Publisher's PDF available through remote link. Must click on corresponding article.