Presentation 2008/7/10
A Degree of Relation between Named Entity and Context for Named Entity Automatic Acquisition
Hiroyuki SHIOIRI, Masayuki OKABE, Hirotake ABE, Kyoji UMEMURA,
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Abstract(in English) Maintenance of a Named Entity dictionary is important for not only a Named Entity extraction but also language knowledge and world knowledge. This report aims to improve a method which acquires vocabularies for Named Entity dictionary. We propose a convincingly approach to calculate a degree of relation between Named Entity and Context on a corpus. The approach leverages the co-occurrence information between Named Entity and Context. We report useful functions leveraging the clue for Named Entity acquisition.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Named Entity / Vocabulary Acuisition
Paper # NLC2008-3
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Committee NLC
Conference Date 2008/7/10(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Degree of Relation between Named Entity and Context for Named Entity Automatic Acquisition
Sub Title (in English)
Keyword(1) Named Entity
Keyword(2) Vocabulary Acuisition
1st Author's Name Hiroyuki SHIOIRI
1st Author's Affiliation Toyohashi University of Technology()
2nd Author's Name Masayuki OKABE
2nd Author's Affiliation Toyohashi University of Technology
3rd Author's Name Hirotake ABE
3rd Author's Affiliation Toyohashi University of Technology
4th Author's Name Kyoji UMEMURA
4th Author's Affiliation Toyohashi University of Technology
Date 2008/7/10
Paper # NLC2008-3
Volume (vol) vol.108
Number (no) 141
Page pp.pp.-
#Pages 5
Date of Issue