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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
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
Masumi Shirakawa, Kotaro Nakayama, Takahiro Hara, Shojiro Nishio, "Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words", WI-IAT, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 274-277, doi:10.1109/WI-IAT.2011.72
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