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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

Author: Carol Jean Godby; OCLC. Office of Research.
Edition/Format:   Article : Document   Computer File : English
Publication:Annual review of OCLC research (Online). 1994
Database:WorldCat
Summary:
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  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Article, Computer File, Internet Resource
All Authors / Contributors: Carol Jean Godby; OCLC. Office of Research.
OCLC Number: 54815713
Notes: Title from title screen (viewed Mar. 26, 2004).
Details: Mode of access: Internet.
Responsibility: project manager, Jean Godby.

Abstract:

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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schema:name"Annual review of OCLC research (Online)."

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