Presentation 2001/3/16
Evaluation of a Transformation Method from Syntactic Structure into Semantic Structure Using Inductive Learning
Masaki Gake, Kenji Araki, Koji Tochinai,
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Abstract(in English) It is useful to use semantic structure in dialogue processing. However a practical semantic analysis method does not exist yet. In order to get the effective semantic structure for dialogue processing, we propose a transformation method from syntactic structure into semantic structure using inductive learng. The system based on our proposed method acquires transformation rules from examples. We actually constructed the system and carried out the evaluation experiment.
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Keyword(in English) syntactic structure / semantic structure / inductive learning / dialogue processing
Paper # TL2000-45,NLC2000-80
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Committee NLC
Conference Date 2001/3/16(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) Evaluation of a Transformation Method from Syntactic Structure into Semantic Structure Using Inductive Learning
Sub Title (in English)
Keyword(1) syntactic structure
Keyword(2) semantic structure
Keyword(3) inductive learning
Keyword(4) dialogue processing
1st Author's Name Masaki Gake
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Kenji Araki
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Koji Tochinai
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2001/3/16
Paper # TL2000-45,NLC2000-80
Volume (vol) vol.100
Number (no) 700
Page pp.pp.-
#Pages 8
Date of Issue