Presentation 2004/10/28
Linking Natural Language to Semantic Knowledge using Multilayered Semantic Frame Analysis
Kow KURODA, Hitoshi ISAHARA,
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Abstract(in English) Based on our previous work (Kuroda & Isahara), we propose a method, called Multilayered Semantic Frame Analysis (MSFA) that links natural language expressions to semantic knowledge. This way, MSFA forms a basis for "semantic role tagging", which is required for development of Japanese corpus annotated for "semantic roles". MSFA offers an answer to the "language-knowledge linking problem".
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Keyword(in English) language-knowledge linking problem / multilayered semantic frame analysis / semantically tagged corpus / semantic role tagging
Paper # NLC2004-21
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Committee NLC
Conference Date 2004/10/28(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) Linking Natural Language to Semantic Knowledge using Multilayered Semantic Frame Analysis
Sub Title (in English)
Keyword(1) language-knowledge linking problem
Keyword(2) multilayered semantic frame analysis
Keyword(3) semantically tagged corpus
Keyword(4) semantic role tagging
1st Author's Name Kow KURODA
1st Author's Affiliation National Institute of Information and Communications Technology()
2nd Author's Name Hitoshi ISAHARA
2nd Author's Affiliation National Institute of Information and Communications Technology
Date 2004/10/28
Paper # NLC2004-21
Volume (vol) vol.104
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue