Document (#8524)

Author

Wacholder, N.
Byrd, R.J.

Title

Retrieving information from full text using linguistic knowledge

Source

Proceedings of the 15th National Online Meeting 1994, New York, 10-12 May 1994. Ed. by M.E. Williams

Imprint

Medford, NJ : Learned Information

Year

1994

Pages

S.441-447

Abstract

Examines how techniques in the field of natural language processing can be applied to the analysis of text in information retrieval. State of the art text searching programs cannot distinguish, for example, between occurrences of the sickness, AIDS and aids as tool or between library school and school nor equate such terms as online or on-line which are variants of the same form. To make these distinction, systems must incorporate knowledge about the meaning of words in context. Research in natural language processing has concentrated on the automatic 'understanding' of language; how to analyze the grammatical structure and meaning of text. Although many asoects of this research remain experimental, describes how these techniques to recognize spelling variants, names, acronyms, and abbreviations

Theme

Automatisches Indexieren
Volltextretrieval
Computerlinguistik

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