Question Answering : CNLP at the TREC-9 Question Answering Track

Document Type

Conference Paper

Journal/Book Title/Conference

Text Retrieval Conference


E.M. Voorhees and D.K. Harman

Publication Date



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.


Originally published by the Center for Natural Language Processing (CNLP). Publisher's PDF available through remote link. Must click on corresponding article.