Automated cross-lingual link discovery in Wikipedia
Tang, Ling-Xiang, Cavanagh, Daniel, Trotman, Andrew, Geva, Shlomo, & Xu, Yue (2011) Automated cross-lingual link discovery in Wikipedia. In Kando, Noriko, Ishikawa, Daisuke, & Sugimoto, Miho (Eds.) Proceedings of the NTCIR-9 Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access, National Institute of Informatics, National Center of Sciences, Tokyo, pp. 512-519.
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we describe our approaches to discovering Chinese, Japanese, and Korean (CJK) cross-lingual links for English documents in Wikipedia. Our experimental results show that a link mining approach that mines the existing link structure for anchor probabilities and relies on the “translation” using cross-lingual document name triangulation performs very well. The evaluation shows encouraging results for our system.
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|Item Type:||Conference Paper|
|Keywords:||NTCIR, Crosslink, Wikipedia, Link probability, Page name matching, Transliteration|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Open Software (080306)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||13 Mar 2012 03:30|
|Last Modified:||13 Mar 2012 03:30|
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