Presentation 2011-10-11
Information Extraction from the Web and Challenges in its Practical Use
Genichiro KIKUI,
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Abstract(in English) This paper introduces overview of our information extraction modules consisting of named entity recognition, referent identification of named entity expressions, and extraction of semantic relation between named entities. We put a focus on recent results including fine grained classification of named entity expressions and selection of linguistic expression representing semantic relation (of NEs). The paper also discusses problems we faced with when putting the above modules into practical use.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information Extraction / WWW / Named Entity Recognition / Relation Extraction
Paper # TL2011-35,NLC2011-32
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Committee TL
Conference Date 2011/10/3(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) Information Extraction from the Web and Challenges in its Practical Use
Sub Title (in English)
Keyword(1) Information Extraction
Keyword(2) WWW
Keyword(3) Named Entity Recognition
Keyword(4) Relation Extraction
1st Author's Name Genichiro KIKUI
1st Author's Affiliation Faculty of Computer Science and Systems Engineering, Okayama Prefectural University()
Date 2011-10-11
Paper # TL2011-35,NLC2011-32
Volume (vol) vol.111
Number (no) 227
Page pp.pp.-
#Pages 6
Date of Issue