Difference between revisions of "Discovering Cross-Language Links in Wikipedia Through Semantic Relatedness"
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| − | '''Discovering Cross-Language Links in Wikipedia Through Semantic Relatedness''' - scientific work related to Wikipedia quality published in 2012, written by Antonio Penta, Gianluca Quercini, Chantal Reynaud and Nigel Shadbolt. | + | '''Discovering Cross-Language Links in Wikipedia Through Semantic Relatedness''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Antonio Penta]], [[Gianluca Quercini]], [[Chantal Reynaud]] and [[Nigel Shadbolt]]. |
== Overview == | == Overview == | ||
| − | 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, authors propose WIKICL, an algorithm for discoverinrg cross-language links using the semantic relatedness of two articles derived from the Wikipedia graph structure. Authors evaluation shows that authors achieve comparable, and in some cases, better results than previous methods with much less computational time. | + | 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, authors propose WIKICL, an algorithm for discoverinrg cross-language links using the semantic [[relatedness]] of two articles derived from the Wikipedia graph structure. Authors evaluation shows that authors achieve comparable, and in some cases, better results than previous methods with much less computational time. |
Revision as of 10:32, 1 August 2019
Discovering Cross-Language Links in Wikipedia Through Semantic Relatedness - scientific work related to Wikipedia quality published in 2012, written by Antonio Penta, Gianluca Quercini, Chantal Reynaud and Nigel Shadbolt.
Overview
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, authors propose WIKICL, an algorithm for discoverinrg cross-language links using the semantic relatedness of two articles derived from the Wikipedia graph structure. Authors evaluation shows that authors achieve comparable, and in some cases, better results than previous methods with much less computational time.
