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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12773

Title: Exploring wikipedia and text features for named entity disambiguation
Authors: Nguyen H.T.
Cao T.H.
Keywords: 
Issue Date: 2010
Publisher: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Citation: Volume 5991 LNAI, Issue PART 2, Page 11-20
Abstract: Precisely identifying entities is essential for semantic annotation. This paper addresses the problem of named entity disambiguation that aims at mapping entity mentions in a text onto the right entities in Wikipedia. The aim of this paper is to explore and evaluate various combinations of features extracted from Wikipedia and texts for the disambiguation task, based on a statistical ranking model of candidate entities. Through experiments, we show which combinations of features are the best choices for disambiguation. © 2010 Springer-Verlag Berlin Heidelberg.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12773
ISSN: 3029743
Appears in Collections:Articles of Universities of Vietnam from Scopus

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