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Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2011)
Lyon, France
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-0-7695-4513-4
pp: 274-277
ABSTRACT
In this paper, we propose a method which acquires related words (entities) from multiple words by naturally disambiguating their meaning and considering their contexts. In addition, we introduce a bootstrapping method for improving the coverage of association relations. Experimental result shows that our method can acquire related words depending on the contexts of multiple words compared to the ESA-based method.
INDEX TERMS
Wikipedia mining, association thesaurus, context dependency, bootstrapping
CITATION
Shojiro Nishio, Kotaro Nakayama, Masumi Shirakawa, Takahiro Hara, "Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words", Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, vol. 01, no. , pp. 274-277, 2011, doi:10.1109/WI-IAT.2011.72
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