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Distant supervision for relation extraction without ...

Distant supervision for relation extraction without labeled dataMike Mintz, Steven Bills, Rion Snow, Dan JurafskyStanford University / Stanford, CA models of relation extraction for tasks likeACE are based on supervised learning of relationsfrom small hand-labeled corpora. We investigate analternative paradigm that does not require labeledcorpora, avoiding the domain dependence of ACE-style algorithms, and allowing the use of corporaof any size. Our experiments use Freebase, a largesemantic database of several thousand relations, toprovidedistant supervision . For each pair of enti-ties that appears in some Freebase relation , we findall sentences containing those entities in a large un-labeled corpus and extract textual features to traina relation classifier.

Distant supervision for relation extraction without labeled data Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky Stanford University / Stanford, CA 94305 fmikemintz,sbills,rion,jurafskyg@cs.stanford.edu ... /people/person/place of birth Wavell Wayne Hinds, Kingston /book/author/works written Upton Sinclair, Lanny Budd /business/company ...

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