Presentation 2007/7/17
Issues in Generating Entailed Sentences Using Inference Rules Represented by Natural Language
Yoshiaki ONISHI, Kentaro INUI, Yuji MATSUMOTO,
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Abstract(in English) In order to handle the language on computers, it is important not only to analyze language but to make inference based on world-knowledge. In this paper, we extract the pairs of the predicate argument structures as a rule of inference from dictionary. And we break down the problems and discuss technical challenges we must resolve.
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Keyword(in English) inference rules / predicate argument structure / textual entailment recognition / plan recognition / gloss
Paper # NLC2007-10
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Committee NLC
Conference Date 2007/7/17(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) Issues in Generating Entailed Sentences Using Inference Rules Represented by Natural Language
Sub Title (in English)
Keyword(1) inference rules
Keyword(2) predicate argument structure
Keyword(3) textual entailment recognition
Keyword(4) plan recognition
Keyword(5) gloss
1st Author's Name Yoshiaki ONISHI
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Kentaro INUI
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Yuji MATSUMOTO
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2007/7/17
Paper # NLC2007-10
Volume (vol) vol.107
Number (no) 158
Page pp.pp.-
#Pages 6
Date of Issue