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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

作者: Carol Jean Godby; OCLC. Office of Research.
版本/格式:   文章 : 文獻   電腦資料 : 英語
刊登於:Annual review of OCLC research (Online). 1994
資料庫: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  再讀一些...
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資料類型: 文獻, 網際網路資源
文件類型: 文章, 電腦資料, 網路資源
所有的作者/貢獻者: Carol Jean Godby; OCLC. Office of Research.
OCLC系統控制編碼: 54815713
注意: Title from title screen (viewed Mar. 26, 2004).
詳述: Mode of access: Internet.
責任: 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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schema:name"Annual review of OCLC research (Online)."

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