The effectiveness of cross-lingual link discovery
Contribuinte(s) |
Kishida, Kazuaki Sanderson, Mark Webber, William Kando, Noriko Ishikawa, Noriko Sugimoto, Miho |
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Data(s) |
2011
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Resumo |
This paper describes the evaluation in benchmarking the effectiveness of cross-lingual link discovery (CLLD). Cross lingual link discovery is a way of automatically finding prospective links between documents in different languages, which is particularly helpful for knowledge discovery of different language domains. A CLLD evaluation framework is proposed for system performance benchmarking. The framework includes standard document collections, evaluation metrics, and link assessment and evaluation tools. The evaluation methods described in this paper have been utilised to quantify the system performance at NTCIR-9 Crosslink task. It is shown that using the manual assessment for generating gold standard can deliver a more reliable evaluation result. |
Identificador | |
Publicador |
National Insitute of Informatics (Japan) |
Relação |
http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/EVIA/01-EVIA2011-TangL.pdf Tang, Ling-Xiang, Itakura, Kelly, Geva, Shlomo, Trotman, Andrew, & Xu, Yue (2011) The effectiveness of cross-lingual link discovery. In Kishida, Kazuaki, Sanderson, Mark, Webber, William, Kando, Noriko, Ishikawa, Noriko, & Sugimoto, Miho (Eds.) Proceedings of The Fourth International Workshop on Evaluating Information Access, National Insitute of Informatics (Japan), National Institute of Informatics, Tokyo, pp. 1-8. |
Direitos |
© 2011 National Institute of Informatics |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080107 Natural Language Processing #080306 Open Software #Wikipedia #Cross-lingual link discovery #Assessment #Evaluation framework #Assessment tool #Evaluation metrics |
Tipo |
Conference Paper |