SRDF: Korean Open Information Extraction using Singleton Property

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dc.contributor.authorNam, Sanghako
dc.contributor.authorChoi, Key Sunko
dc.contributor.authorHahm, Younggyunko
dc.contributor.authorNam, Sejinko
dc.date.accessioned2016-07-12T05:37:30Z-
dc.date.available2016-07-12T05:37:30Z-
dc.date.created2016-01-06-
dc.date.issued2015-10-11-
dc.identifier.citationISWC 2015-
dc.identifier.urihttp://hdl.handle.net/10203/210572-
dc.description.abstractIn this paper, we propose a new Korean Open Information Extraction system so-called SRDF. The SRDF system has been designed to effectively ex-tract reified triples from Korean natural language texts based on the use of sin-gleton property and other natural language processing techniques such as part-of-speech tagging and chunking. The SRDF system is the Open Information Ex-traction system that enables extracting a multiple number of triples from a single sentence via reification.-
dc.languageEnglish-
dc.publisherSemantic Web Science Association-
dc.titleSRDF: Korean Open Information Extraction using Singleton Property-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameISWC 2015-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationBethlehem, Pennsylvania-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorChoi, Key Sun-
dc.contributor.nonIdAuthorNam, Sangha-
dc.contributor.nonIdAuthorHahm, Younggyun-
dc.contributor.nonIdAuthorNam, Sejin-
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CS-Conference Papers(학술회의논문)
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