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Experimental linguistic indexing for information retrieval : ELIXIR
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Experimental linguistic indexing for information retrieval : ELIXIR

Autore: Carol Jean Godby; Bradley C Watson
Edizione/Formato:   Articolo : English
Pubblicazione:Annual review of OCLC research, July 1992-June 1993
Banca dati:WorldCat
Sommario:
The primary goal of the ELIXIR project was to achieve improvements in the performance of text-retrieval systems by confronting some of the challenges presented by the indexing of full-text documents. We explored two hypotheses involving the use of linguistic analysis to improve the automatic creation of indexes : if it is possible to develop algorithms that index only the words which most closely capture the  Per saperne di più…
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Tipo documento: Article
Tutti gli autori / Collaboratori: Carol Jean Godby; Bradley C Watson
Numero OCLC: 56018778
Note: Caption title.
Descrizione: pages 17-20.
Responsabilità: project managers C. Jean Godby, Bradley C. Watson.

Abstract:

The primary goal of the ELIXIR project was to achieve improvements in the performance of text-retrieval systems by confronting some of the challenges presented by the indexing of full-text documents. We explored two hypotheses involving the use of linguistic analysis to improve the automatic creation of indexes : if it is possible to develop algorithms that index only the words which most closely capture the document's content - not the complete text; if it is possible to create indexing algorithms that perform a minimal syntactic parse required to capture important phrases, the index may represent the document's content even more accurately, increasing the likelihood that the article can be retrieved by a relevant query.

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