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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.
Vydání/formát:   Článek : Document   Počítačový soubor : English
Zdroj:Annual review of OCLC research (Online). 1994
Shrnutí:
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  Přečíst více...
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Detaily

Typ materiálu: Document, Internetový zdroj
Typ dokumentu Článek, Počítačový soubor, Internetový zdroj
Všichni autoři/tvůrci: Carol Jean Godby; OCLC. Office of Research.
OCLC číslo: 54815713
Poznámky: Title from title screen (viewed Mar. 26, 2004).
Podrobnosti: Mode of access: Internet.
Odpovědnost: project manager, Jean Godby.

Anotace:

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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Propojená data


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