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1Liddy, E.D. ; Paik, W. ; McKenna, M. ; Yu, E.S.: ¬A natural language text retrieval system with relevance feedback.
In: Proceedings of the 16th National Online Meeting 1995, New York, 2-4 May 1995. Ed.: M.E. Williams. Medford, NJ : Learned Information, 1995. S.259-262.
Abstract: Outlines a fully integrated retrieval engine that processes documents and queries at the multiple, complex linguistic levels that humans use to construe meaning. Currently undergoing beta site trials, the DR-LINK natural language text retrieval system allows searchers to state queries as fully formed, natural sentences. The meaning and matching of both queries and documents is accomplished at the conceptual level of human expression, not by the simple concurrence of keywords. Furthermore, the natural browsing behaviour of information searchers is accomodated by allowing documents identified as potentially relevant by the explicit semantics of the system to be used as relevance feedback queries which provide an appropriate implicit semantic representation of the information seeker's need