Document (#10981)

Author
Strzalkowski, T.
Title
Natural language information retrieval
Source
Information processing and management. 31(1995) no.3, S.397-417
Year
1995
Abstract
Describes an information retrieval system in which advanced natural language processing techniques are used to enhance the effectiveness of term based document retrieval. The backbone of the system is a traditional statistical engine that builds inverted index files from pre processed documents, and then searches and ranks the documents in response to user queries. Natural language processing is used to: preprocess the documents in order to extract content carrying terms; discover interterm dependencies and build a conceptual hierarchy specific to the database domain, and process the user's natural language requests into effective search queries. During the course of the Text Retrieval Conferences, TREC-1 and TREC-2, this system has evolved from a scaled up prototype, originally tested on such collections as CACM-3204 and Cranfield, to its present form, which can be effectively used to process hundreds or millions of words of unrestricted text

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