Document Type
Article
Date
2000
Keywords
CNLP, TREC-9, question answering track
Language
English
Disciplines
Information and Library Science
Description/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
Diekerma, Anne; Liu, Xiaoyong; Chen, Jiangping; Wang, Hudong; McCracken, Nancy; Yilmazel, Ozgur; and Liddy, Elizabeth D., "Question Answering: CNLP at the TREC-9 Question Answering Track" (2000). Center for Natural Language Processing. Paper 1.
http://surface.syr.edu/cnlp/1
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