Title :
Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words
Author :
Shirakawa, Masumi ; Nakayama, Kotaro ; Hara, Takahiro ; Nishio, Shojiro
Author_Institution :
Dept. of Multimedia Eng., Osaka Univ., Osaka, Japan
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.
Keywords :
Internet; Web sites; bootstrapping; data mining; encyclopaedias; query processing; thesauri; ESA-based method; Web page classification; Wikipedia mining; Wikipedia sets; association thesaurus; bootstrapping method; context-oriented related entity acquisition; query expansion; query-free search; semantic based information retrieval; Context; Electronic publishing; Encyclopedias; Internet; Semantics; Thesauri; Wikipedia mining; association thesaurus; bootstrapping; context dependency;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4577-1373-6
Electronic_ISBN :
978-0-7695-4513-4
DOI :
10.1109/WI-IAT.2011.72
