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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
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, vol. 1, pp.274-277, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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