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http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12505
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Title: | A knowledge-based approach to named entity disambiguation in news articles |
Authors: | Nguyen H.T. Cao T.H. |
Keywords: | Coreference resolution Knowledge base Name disambiguation Ontology Semantic web |
Issue Date: | 2007 |
Publisher: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Citation: | Volume 4830 LNAI, Issue , Page 619-624 |
Abstract: | Named entity disambiguation has been one of the main challenges to research in Information Extraction and development of Semantic Web. Therefore, it has attracted much research effort, with various methods introduced for different domains, scopes, and purposes. In this paper, we propose a new approach that is not limited to some entity classes and does not require wellstructured texts. The novelty is that it exploits relations between co-occurring entities in a text as defined in a knowledge base for disambiguation. Combined with class weighting and coreference resolution, our knowledge-based method outperforms KIM system in this problem. Implemented algorithms and conducted experiments for the method are presented and discussed. © Springer-Verlag Berlin Heidelberg 2007. |
URI: | http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12505 |
ISSN: | 3029743 |
Appears in Collections: | Articles of Universities of Vietnam from Scopus
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