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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

Auteur: Carol Jean Godby; OCLC. Office of Research.
Editie/Formaat:   Artikel : Document   Computerbestand : Engels
Publicatie:Annual review of OCLC research (Online). 1994
Database:WorldCat
Samenvatting:
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  Meer lezen...
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Details

Genre: Document, Internetbron
Soort document: Artikel, Computerbestand, Internetbron
Alle auteurs / medewerkers: Carol Jean Godby; OCLC. Office of Research.
OCLC-nummer: 54815713
Opmerkingen: Title from title screen (viewed Mar. 26, 2004).
Details: Mode of access: Internet.
Verantwoordelijkheid: project manager, Jean Godby.

Fragment:

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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Primary Entity

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   schema:creator <http://viaf.org/viaf/109058202> ; # Carol Jean Godby
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<http://id.worldcat.org/fast/987037> # Keyword searching
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<http://viaf.org/viaf/109058202> # Carol Jean Godby
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   schema:givenName "Carol Jean" ;
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<http://viaf.org/viaf/136069274> # OCLC. Office of Research.
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