Difference between revisions of "Pairing Wikipedia Articles Across Languages"
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| − | '''Pairing Wikipedia Articles Across Languages''' - scientific work related to Wikipedia quality published in 2016, written by Marcus Klang and Pierre Nugues. | + | '''Pairing Wikipedia Articles Across Languages''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Marcus Klang]] and [[Pierre Nugues]]. |
== Overview == | == Overview == | ||
| − | Wikipedia has become a reference knowledge source for scores of NLP applications. One of its invaluable features lies in its multilingual nature, where articles on a same entity or concept can have from one to more than 200 different versions. The interlinking of language versions in Wikipedia has undergone a major renewal with the advent of Wikidata, a unified scheme to identify entities and their properties using unique numbers. However, as the interlinking is still manuallycarriedoutbythousandsofeditorsacrosstheglobe,errorsmaycreepintheassignment ofentities. Inthispaper,wedescribeanoptimizationtechniquetomatchautomaticallylanguage versions of articles, and hence entities, that is only based on bags of words and anchors. Authors created a dataset of all the articles on persons authors extracted from Wikipedia in six languages: English, French, German, Russian, Spanish, and Swedish. Authors report a correct match of at least 94.3% on each pair. (Less) | + | Wikipedia has become a reference knowledge source for scores of NLP applications. One of its invaluable [[features]] lies in its [[multilingual]] nature, where articles on a same entity or concept can have from one to more than 200 different versions. The interlinking of [[language versions]] in [[Wikipedia]] has undergone a major renewal with the advent of [[Wikidata]], a unified scheme to identify entities and their properties using unique numbers. However, as the interlinking is still manuallycarriedoutbythousandsofeditorsacrosstheglobe,errorsmaycreepintheassignment ofentities. Inthispaper,wedescribeanoptimizationtechniquetomatchautomaticallylanguage versions of articles, and hence entities, that is only based on bags of words and anchors. Authors created a dataset of all the articles on persons authors extracted from Wikipedia in six languages: English, French, German, Russian, Spanish, and Swedish. Authors report a correct match of at least 94.3% on each pair. (Less) |
Revision as of 08:11, 19 November 2020
Pairing Wikipedia Articles Across Languages - scientific work related to Wikipedia quality published in 2016, written by Marcus Klang and Pierre Nugues.
Overview
Wikipedia has become a reference knowledge source for scores of NLP applications. One of its invaluable features lies in its multilingual nature, where articles on a same entity or concept can have from one to more than 200 different versions. The interlinking of language versions in Wikipedia has undergone a major renewal with the advent of Wikidata, a unified scheme to identify entities and their properties using unique numbers. However, as the interlinking is still manuallycarriedoutbythousandsofeditorsacrosstheglobe,errorsmaycreepintheassignment ofentities. Inthispaper,wedescribeanoptimizationtechniquetomatchautomaticallylanguage versions of articles, and hence entities, that is only based on bags of words and anchors. Authors created a dataset of all the articles on persons authors extracted from Wikipedia in six languages: English, French, German, Russian, Spanish, and Swedish. Authors report a correct match of at least 94.3% on each pair. (Less)
