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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

著者: Carol Jean Godby; OCLC. Office of Research.
版本/格式:   文章 : 文献   计算机文档 : 英语
刊登在:Annual review of OCLC research (Online). 1994
数据库:WorldCat
提要:
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  再读一些...
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材料类型: 文献, 互联网资源
文件类型: 文章, 计算机文档, 互联网资源
所有的著者/提供者: Carol Jean Godby; OCLC. Office of Research.
OCLC号码: 54815713
注意: Title from title screen (viewed Mar. 26, 2004).
详述: Mode of access: Internet.
责任: project manager, Jean Godby.

摘要:

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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