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Relation Acquisition using Word Classes and Partial Patterns Stijn De Saeger†∗ Chikara Hashimoto† Kentaro Torisawa† Masaaki Tsuchida§ Jun’ichi Kazama† Ichiro Yamada‡ Jong Hoon Oh† Istv´an Varga† Yulan
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Document Date: 2011-07-20 22:52:31


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City

Tokyo / College Park / Edinburgh / /

Company

Toyota / Media Processing Laboratories / Science & Technology Research Laboratories / CDP / Espresso / Information Analysis Laboratory / NEC Corporation / /

Continent

Europe / /

Country

Japan / United States / United Kingdom / Scotland / /

/

Facility

Kentaro Torisawa† Masaaki Tsuchida§ Jun’ichi Kazama† Ichiro Yamada‡ Jong Hoon Oh† Istv´an Varga† Yulan Yan† Information Analysis Laboratory / National Institute of Information / /

IndustryTerm

Web corpus / Web page cor / nitrogen gas / knowledge discovery applications / risk management / large scale word clustering algorithm / page Web corpus / /

Organization

National Institute of Information and Communications Technology / Partial Patterns Stijn De Saeger†∗ Chikara Hashimoto† Kentaro Torisawa† Masaaki Tsuchida§ Jun’ichi Kazama† Ichiro Yamada‡ Jong Hoon Oh† Istv´an Varga† Yulan Yan† Information Analysis Laboratory / Environmental Protection Agency / Association for Computational Linguistics / /

Person

Luis Gravano / Bryan Kisiel / Eugene Charniak / Andrew Carlson / Estevam R. Hruschka Jr. / Raymond J. Mooney / Oren Etzioni / Razvan C. Bunescu / Tom M. Mitchell / Eugene Agichtein / Michele Banko / Justin Betteridge / Kentaro Torisawa† Masaaki Tsuchida / Matthew Berland / Ichiro Yamada‡ Jong Hoon / Chikara Hashimoto / /

Position

extractor / syntactic head / first stage extractor / relation extractor / /

Product

iPhone / Xylocaine / Stage 1 / /

ProvinceOrState

Maryland / /

PublishedMedium

Computational Linguistics / /

Technology

Natural Language Processing / large scale word clustering algorithm / machine learning / EM algorithm / /

URL

http /

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