Difference between revisions of "Eliminating Incorrect Cross-Language Links in Wikipedia"

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{{Infobox work
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| title = Eliminating Incorrect Cross-Language Links in Wikipedia
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| date = 2017
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| authors = [[Nacéra Bennacer]]<br />[[Francesca Bugiotti]]<br />[[Jorge Galicia]]<br />[[Mariana Patricio]]<br />[[Gianluca Quercini]]
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| doi = 10.1007/978-3-319-68786-5_9
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| link = https://link.springer.com/chapter/10.1007/978-3-319-68786-5_9
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}}
 
'''Eliminating Incorrect Cross-Language Links in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Nacéra Bennacer]], [[Francesca Bugiotti]], [[Jorge Galicia]], [[Mariana Patricio]] and [[Gianluca Quercini]].
 
'''Eliminating Incorrect Cross-Language Links in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Nacéra Bennacer]], [[Francesca Bugiotti]], [[Jorge Galicia]], [[Mariana Patricio]] and [[Gianluca Quercini]].
  
 
== Overview ==
 
== Overview ==
 
Many [[Wikipedia]] articles that cover the same topic in [[different language]] editions are interconnected via cross-language links that enable the understanding of topics in [[multiple languages]], as well as cross-language [[information retrieval]] applications. However, cross-language links are added manually by the users of Wikipedia and, as such, are often incorrect. In this paper, authors propose an approach to automatically eliminate incorrect cross-language links based on the observation that groups of articles that are pairwise connected through cross-language links form independent connected components. For each incoherent component (i.e., one that contains two or more articles from the same language edition), approach assigns a correctness score to its crosslinks and removes those with the lowest score to make the component coherent. The results of evaluation on a snapshot of Wikipedia in 8 languages indicates that approach shows quantitative promise.
 
Many [[Wikipedia]] articles that cover the same topic in [[different language]] editions are interconnected via cross-language links that enable the understanding of topics in [[multiple languages]], as well as cross-language [[information retrieval]] applications. However, cross-language links are added manually by the users of Wikipedia and, as such, are often incorrect. In this paper, authors propose an approach to automatically eliminate incorrect cross-language links based on the observation that groups of articles that are pairwise connected through cross-language links form independent connected components. For each incoherent component (i.e., one that contains two or more articles from the same language edition), approach assigns a correctness score to its crosslinks and removes those with the lowest score to make the component coherent. The results of evaluation on a snapshot of Wikipedia in 8 languages indicates that approach shows quantitative promise.

Revision as of 07:46, 10 January 2020


Eliminating Incorrect Cross-Language Links in Wikipedia
Authors
Nacéra Bennacer
Francesca Bugiotti
Jorge Galicia
Mariana Patricio
Gianluca Quercini
Publication date
2017
DOI
10.1007/978-3-319-68786-5_9
Links
Original

Eliminating Incorrect Cross-Language Links in Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Nacéra Bennacer, Francesca Bugiotti, Jorge Galicia, Mariana Patricio and Gianluca Quercini.

Overview

Many Wikipedia articles that cover the same topic in different language editions are interconnected via cross-language links that enable the understanding of topics in multiple languages, as well as cross-language information retrieval applications. However, cross-language links are added manually by the users of Wikipedia and, as such, are often incorrect. In this paper, authors propose an approach to automatically eliminate incorrect cross-language links based on the observation that groups of articles that are pairwise connected through cross-language links form independent connected components. For each incoherent component (i.e., one that contains two or more articles from the same language edition), approach assigns a correctness score to its crosslinks and removes those with the lowest score to make the component coherent. The results of evaluation on a snapshot of Wikipedia in 8 languages indicates that approach shows quantitative promise.