Enriching Multilingual Language Resources by Discovering Missing Cross-Language Links in Wikipedia

  • Authors:
  • Jong-Hoon Oh;Daisuke Kawahara;Kiyotaka Uchimoto;Jun'ichi Kazama;Kentaro Torisawa

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
  • Year:
  • 2008

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Abstract

We present a novel method for discovering missing cross-language links between English and Japanese Wikipedia articles. We collect candidates of missing cross-language links -- a pair of English and Japanese Wikipedia articles, which could be connected by cross-language links. Then we select the correct cross-language links among the candidates by using a classifier trained with various types of features. Our method has three desirable characteristics for discovering missing links. First, our method can discover cross-language links with high accuracy (92\% precision with 78\% recall rates). Second, the features used in a classifier are language-independent. Third, without relying on any external knowledge, we generate the features based on resources automatically obtained from Wikipedia. In this work, we discover approximately $10^5$ missing cross-language links from Wikipedia, which are almost two-thirds as many as the existing cross-language links in Wikipedia.