Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia

Panchenko, Alexander;Fairon, Cédrick;et.al.
(2012) Concept Discovery in Unstructured Data Workshop (CDUD) of International Conference On Formal Concept Analysis — Location: Leuven, Belgique

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Authors
  • Panchenko, AlexanderUCLouvain
    Author
  • Fairon, CédrickUCLouvain
    Collaborator
  • et. al.
Abstract
This paper presents methods for extraction of semantic relations be- tween words. The methods rely on the k-nearest neighbor algorithms and two semantic similarity measures to extract relations from the abstracts of Wikipe- dia articles. We analyze the proposed methods and evaluate their performance. Precision of the extraction with the best method achieves 83%. We also present an open source system which effectively implements the described algorithms.
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Panchenko, A., & et al. (2012). Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia. Concept Discovery in Unstructured Data Workshop (CDUD) of International Conference On Formal Concept Analysis, Leuven, Belgique. https://hdl.handle.net/2078.5/39830