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Thai Wikipedia Link Suggestion Framework

  • Arnon Rungsawang
  • Sompop Siangkhio
  • Athasit Surarerk
  • Bundit Manaskasemsak
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 253)

Abstract

The paper presents a framework that exploits the Thai Wikipedia articles as a knowledge source to train the machine learning classifier for link suggestion purpose. Given an input document, important concepts in the text have been automatically extracted, and the chosen corresponding Wikipedia pages have been determined and suggested to be the destination links for additional information. Preliminary experiments from the prototype running on a test set of Thai Wikipedia articles show that this automatic link suggestion framework provides reasonably up to 90 % link suggestion accuracy.

Keywords

Thai Wikipedia Wikify Wikification Sense disambiguation Keyword extraction Link suggestion Machine learning 

Notes

Acknowledgement

We would like to thank all anonymous reviewers for their comments and suggestions to improve the final version of the paper. We also would like to thank to both departments of computer engineering in Kasetsart University and Chulalongkorn University for the excellent research environment.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Arnon Rungsawang
    • 1
  • Sompop Siangkhio
    • 2
  • Athasit Surarerk
    • 2
  • Bundit Manaskasemsak
    • 1
  1. 1.Massive Information and Knowledge Engineering, Department of Computer Engineering, Faculty of EngineeringKasetsart UniversityBangkokThailand
  2. 2.Engineering Laboratory in Theoretical Enumerable System, Department of Computer Engineering, Faculty of EngineeringChulalongkorn UniversityBangkokThailand

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