Automated cross-lingual link discovery in Wikipedia
Contribuinte(s) |
Kando, Noriko Ishikawa, Daisuke Sugimoto, Miho |
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Data(s) |
2011
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Resumo |
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. |
Identificador | |
Publicador |
National Institute of Informatics |
Relação |
http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/11-NTCIR9-CROSSLINK-TangL.pdf 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. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080107 Natural Language Processing #080306 Open Software #NTCIR #Crosslink #Wikipedia #Link probability #Page name matching #Transliteration |
Tipo |
Conference Paper |