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Two techniques for the identification of phrases in full text
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Two techniques for the identification of phrases in full text

Autor: Carol Jean Godby; OCLC. Office of Research.
Edição/Formato   Artigo : Documento   Arquivo de Computador : Inglês
Publicação:Annual review of OCLC research (Online). 1994
Base de Dados:WorldCat
Resumo:
This study compares two methods for automatically discovering content-bearing phrases that would improve searchable and browsable indexes of full-text documents. The first method parses the text for noun phrases and uses heuristics to identify the best content-bearing phrases. The second method identifies these phrases by applying frequency and association statistics to the text. It is argued that the second method  Ler mais...
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Detalhes

Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Artigo, Arquivo de Computador, Recurso Internet
Todos os Autores / Contribuintes: Carol Jean Godby; OCLC. Office of Research.
Número OCLC: 54815713
Notas: Title from title screen (viewed Mar. 26, 2004).
Detalhes: Mode of access: Internet.
Responsabilidade: project manager, Jean Godby.

Resumo:

This study compares two methods for automatically discovering content-bearing phrases that would improve searchable and browsable indexes of full-text documents. The first method parses the text for noun phrases and uses heuristics to identify the best content-bearing phrases. The second method identifies these phrases by applying frequency and association statistics to the text. It is argued that the second method promises to give results that are just as good as the first, and has the advantages of being conceptually simpler and more generic.

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