The effectiveness of cross-lingual link discovery
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.
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.
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|Item Type:||Conference Paper|
|Keywords:||Wikipedia, Cross-lingual link discovery, Assessment, Evaluation framework, Assessment tool, Evaluation metrics|
|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
|Copyright Owner:||© 2011 National Institute of Informatics|
|Deposited On:||14 Mar 2012 08:28|
|Last Modified:||14 Mar 2012 08:28|
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