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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.
エディション/フォーマット:   記事/論文 : Document   コンピューターファイル : English
出版:Annual review of OCLC research (Online). 1994
データベース:WorldCat
概要:
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  続きを読む
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資料の種類: Document, インターネット資料
ドキュメントの種類: 記事, コンピューターファイル, インターネットリソース
すべての著者/寄与者: Carol Jean Godby; OCLC. Office of Research.
OCLC No.: 54815713
注記: Title from title screen (viewed Mar. 26, 2004).
詳細: Mode of access: Internet.
責任者: project manager, Jean Godby.

概要:

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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Primary Entity

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    a schema:CreativeWork, schema:MediaObject, schema:Article ;
   library:oclcnum "54815713" ;
   library:placeOfPublication <http://id.loc.gov/vocabulary/countries/ohu> ;
   schema:about <http://id.worldcat.org/fast/871998> ; # Computational linguistics
   schema:about <http://id.worldcat.org/fast/987037> ; # Keyword searching
   schema:about <http://id.loc.gov/authorities/classification/ZA4460> ;
   schema:about <http://id.worldcat.org/fast/968979> ; # Indexing
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   schema:contributor <http://viaf.org/viaf/136069274> ; # OCLC. Office of Research.
   schema:creator <http://viaf.org/viaf/109058202> ; # Carol Jean Godby
   schema:datePublished "1995" ;
   schema:description "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."@en ;
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   schema:pagination "1994" ;
   schema:productID "54815713" ;
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Related Entities

<http://id.worldcat.org/fast/871998> # Computational linguistics
    a schema:Intangible ;
   schema:name "Computational linguistics"@en ;
    .

<http://id.worldcat.org/fast/968979> # Indexing
    a schema:Intangible ;
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<http://id.worldcat.org/fast/987037> # Keyword searching
    a schema:Intangible ;
   schema:name "Keyword searching"@en ;
    .

<http://viaf.org/viaf/109058202> # Carol Jean Godby
    a schema:Person ;
   schema:familyName "Godby" ;
   schema:givenName "Carol Jean" ;
   schema:name "Carol Jean Godby" ;
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<http://viaf.org/viaf/136069274> # OCLC. Office of Research.
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<http://www.worldcat.org/oclc/39966196>
   rdfs:label "Annual review of OCLC research (Online)." ;
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