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Open Information Extraction using Wikipedia Fei Wu University of Washington Seattle, WA, USA
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Document Date: 2010-05-22 21:45:33


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File Size: 713,59 KB

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City

leipzig / Ithaca / Wikipedia / /

Company

Amazon / Air Force Research Laboratory / Google / Penn Treebank / /

Country

Sweden / United States / /

/

Event

Product Recall / Product Issues / /

Facility

Daniel S. Weld University of Washington Seattle / Air Force Research Laboratory / University of Washington / Turing Center / WOE Building / Wikipedia Fei Wu University of Washington Seattle / /

IndustryTerm

text mining / Open knowledge extraction using compositional language processing / Web-scale corpora / web mining / search queries / web text / learning algorithm / /

OperatingSystem

Linux / /

Organization

University of Washington / Massachusetts Institute of Technology / Turing Center / Stanford University / US Federal Reserve / University of Washington Seattle / /

Person

Stanford Parser / Xiaojiang Liu / Gjergji Kasneci / Jing Jiang / Eugene Charniak / Jie Zhang / Xiao Ling / Peng Dai / Raymond J. Mooney / Yutaka Matsuo / Mitsuru Ishizuka / Marius Pasca / Andrew Kachites McCallum / Shubin Zhao / de Marneffe / Guodong Zhou / Alan Akbik / Moshe Koppel / Michele Banko / Bo Zhang / Fei Wu / Auer Lehmann / Ralph Grishman / Stefan Schoenmackers / Raphael Hoffmann / Daniel Jurafsky / Albert Einstein / Ari Rappoport / Benjamin Van Durme / Daniel Weld / H. Kotaro Nakayama / Hoifung Poon / Gerhard Weikum / Dan Jurafsky / Jian Su / Pedro Domingos / Bush / Andrey Kolobov / Andrew Y. Ng / Dmitry Davidov / Oren Etzioni / Min Zhang / Jun Zhu / Mark Johnson / Razvan C. Bunescu / Fuchun Peng / Lenhart K. Schubert / Rion Snow / Andrew McCallum / Ji-Rong Wen / Daniel Suskin / Steven Bills / Fabian M. Suchanek / Christopher D. Manning / Zaiqing Nie / Alan Ritter / Jens Lehmann / Mike Mintz / Washington Seattle / /

Position

extractor / President / Features CRF Extractor / open information extractor / author / Governor / relation-independent open extractor / CRF extractor / open extractor / /

Product

WOEparse WOEpos TextRunner / CRF+w−w=WOEpos CRF+w−tr CRF+w−r CRF+tr−tr TextRunner / region / course / TextRunner / 0.3 0.4 0.5 0.6 1.0 0.1 0.2 0.3 0.4 / precision / Figure / rise / C-0181 / /

ProgrammingLanguage

Java / /

ProvinceOrState

Massachusetts / /

SportsLeague

Stanford University / /

Technology

Linux / machine learning / HTML / Java / same learning algorithm / trained using the same learning algorithm / /

URL

http /

SocialTag