DSpace
 

Tai Nguyen So - Vietnam National University, Ha Noi - VNU >
TRƯỜNG ĐẠI HỌC CÔNG NGHỆ >
PTN Micro Nano >
Articles of Universities of Vietnam from Scopus >

Search

Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12505

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

Files in This Item:

File SizeFormat
HCM_U285.pdf45.99 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback