Presentation 2010-05-28
Advanced Web Information Organization Leveraged by Large-Scale Knowledge Acquisition
Kentaro INUI,
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Abstract(in English) This talk presents the current status and future prospects of two on-going research projects aiming at developing semantic text processing technology for advanced Web information access based on recent advances in large-scale knowledge acquisition. The first projects proposes a new language technology application, called experience mining, which aims at automatically collecting instances of personal experiences as well as opinions from an explosive number of user generated contents and storing them in a database with semantically rich indices. The second one addresses credibility of information on the Web by developing the Statement Map generation technology, which supports Web users' understanding of topics of interest by automatically analyzing the logical relations between relevant statements extracted from multiple pages and generating a comprehensive visual representation of the viewpoints on the topic of interest.
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Keyword(in English) Web information analysis / experience mining / sentiment analysis / Statement Map / textual entailment recognition / knowledge acquisition
Paper # TL2010-4
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Committee TL
Conference Date 2010/5/21(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Advanced Web Information Organization Leveraged by Large-Scale Knowledge Acquisition
Sub Title (in English)
Keyword(1) Web information analysis
Keyword(2) experience mining
Keyword(3) sentiment analysis
Keyword(4) Statement Map
Keyword(5) textual entailment recognition
Keyword(6) knowledge acquisition
1st Author's Name Kentaro INUI
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
Date 2010-05-28
Paper # TL2010-4
Volume (vol) vol.110
Number (no) 63
Page pp.pp.-
#Pages 19
Date of Issue