Presentation	2014-02-26 Extracting Politeness Features from Japanese Business Documents Based on Logical Annotation Analysis Kazuki SHIMAMURA, Kazuhiro TAKEUCHI,
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Abstract(in English)	In order to understand Japanese business documents, we have to recognize the social relationships among the agents and objects that are described in the documents. In this paper, we propose a scheme to annotate Japanese politeness expressions to show the semantic representation in which the agent or object should be understood for the reader. And we show a perspective of NLP applications based on the analysis of the annotated document with our scheme.
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Keyword(in English)	Politeness System in Japanese Language / Logical Annotation / Business Document / Dependency Structure
Paper #	AI2013-40
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Conference Information
Committee	AI
Conference Date	2014/2/19(1days)
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Paper Information
Registration To	Artificial Intelligence and Knowledge-Based Processing (AI)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Extracting Politeness Features from Japanese Business Documents Based on Logical Annotation Analysis
Sub Title (in English)
Keyword(1)	Politeness System in Japanese Language
Keyword(2)	Logical Annotation
Keyword(3)	Business Document
Keyword(4)	Dependency Structure
1st Author's Name	Kazuki SHIMAMURA
1st Author's Affiliation	Graduate School of Engineering, Osaka Electro-Communication University()
2nd Author's Name	Kazuhiro TAKEUCHI
2nd Author's Affiliation	Graduate School of Engineering, Osaka Electro-Communication University
Date	2014-02-26
Paper #	AI2013-40
Volume (vol)	vol.113
Number (no)	441
Page	pp.pp.-
#Pages	2
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