Question Answering: CNLP at the TREC-2002 Question Answering Track
Anne R. Diekema, Jiangping Chen, Nancy J. McCracken, Necati Ercan Ozgencil, Mary D. Taffet, Özgür Yılmazel, Elizabeth D. Liddy · Syracuse University Libraries (Syracuse University) · 2000
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. 1.