SRDF: Korean Open Information Extraction using Singleton Property

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In 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.
Publisher
Semantic Web Science Association
Issue Date
2015-10-11
Language
English
Citation

ISWC 2015

URI
http://hdl.handle.net/10203/210572
Appears in Collection
CS-Conference Papers(학술회의논문)
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