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Discovering cross-language links in Wikipedia through semantic relatedness

Record type: Conference or Workshop Item (Paper)

Wikipedia is a large multilingual collection of interlinked articles, used and contributed by millions of users over the Internet, that provides editions in up to 283 languages. Two articles in different language versions of Wikipedia may have information on the exactly the same concept, in which case they are often connected through a cross-language link. However, many cross-language links are either missing or incorrect and this negatively affects both the readers of Wikipedia and multilingual information retrieval applications. In this paper, we propose WikiCL, an algorithm for discoverinrg cross-language links using the semantic relatedness of two articles derived from the Wikipedia graph structure. Our evaluation shows that we achieve comparable, and in some cases, better results than previous methods with much less computational time

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Citation

Penta, Antonio, Quercini, Gianluca, Chantal, Reynaud and Shadbolt, Nigel (2012) Discovering cross-language links in Wikipedia through semantic relatedness At 20th European Conference on Artificial Intelligence (ECAI 2012), France. 27 - 31 Aug 2012.

More information

Published date: 2012
Venue - Dates: 20th European Conference on Artificial Intelligence (ECAI 2012), France, 2012-08-27 - 2012-08-31
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 340145
URI: http://eprints.soton.ac.uk/id/eprint/340145
PURE UUID: 2f8c50ea-a5a9-4758-be71-cbc7fa40271c

Catalogue record

Date deposited: 13 Jun 2012 13:16
Last modified: 18 Jul 2017 05:48

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Contributors

Author: Antonio Penta
Author: Gianluca Quercini
Author: Reynaud Chantal
Author: Nigel Shadbolt

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