Natural Language Question Answering: The View from Here
October 2001
Lynette Hirschman, The MITRE Corporation
R. Gaizauskas, University of Sheffield, Sheffield, U.K.
ABSTRACT
As users struggle to navigate the wealth of on-line information now available, the need for automated question answering systems becomes more urgent. We need systems that allow a user to ask a question in everyday language and receive an answer quickly and succinctly, with sufficient context to validate the answer. Current search engines can return ranked lists of documents, but they do not deliver answers to the user.
Additional Search Keywords
Naturual Language Question Answering; Lynette Hirschman; TREC; NLP
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