Presentation 1996/5/17
Disambiguation of Noun Sense by Scene Knowledge Based on Pictorial Dictionary and LDOCE Subject-codes
Tatsuhiko TSUNODA, Masateru HASAHIBA,
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Abstract(in English) We propose a method to disambiguate English nouns using scene information. We hypothesize here that each scene of each paragraph is decided beforehand. According to the scene, our method applies scene knowledge to all nouns in the paragraph. The scene knowledge is constructed in advance using the nouns on the pictures in OXFORD-DUDEN Pictorial English Dictionary (OPED). The knowledge has two types of representation: (a)pairs of nouns and their senses, and (b) a list of subject-codes on Longman Dictionary Of Contemporary English (LDOCE) accompanied by the meanings in (a). We applied our method to nouns in a narrative story; for nouns which were related to the scene the recall ratio was about 94%, and the precision were about 80%; for nouns which were not related to the scene the recall ratio was about 90%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) scene / knowledge / dictionary / subject / disambiguation
Paper # NCL-3
Date of Issue

Conference Information
Committee NLC
Conference Date 1996/5/17(1days)
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Paper Information
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) Disambiguation of Noun Sense by Scene Knowledge Based on Pictorial Dictionary and LDOCE Subject-codes
Sub Title (in English)
Keyword(1) scene
Keyword(2) knowledge
Keyword(3) dictionary
Keyword(4) subject
Keyword(5) disambiguation
1st Author's Name Tatsuhiko TSUNODA
1st Author's Affiliation Department of Electronics and Communication, Kyoto University()
2nd Author's Name Masateru HASAHIBA
2nd Author's Affiliation Department of Electronics and Communication, Kyoto University
Date 1996/5/17
Paper # NCL-3
Volume (vol) vol.96
Number (no) 46
Page pp.pp.-
#Pages 6
Date of Issue