Estimating the Quality of Articles in Russian Wikipedia Using the Logical-Linguistic Model of Fact Extraction

  • Nina Khairova
  • Włodzimierz Lewoniewski
  • Krzysztof Węcel
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 288)

Abstract

We present the method of estimating the quality of articles in Russian Wikipedia that is based on counting the number of facts in the article. For calculating the number of facts we use our logical-linguistic model of fact extraction. Basic mathematical means of the model are logical-algebraic equations of the finite predicates algebra. The model allows extracting of simple and complex types of facts in Russian sentences. We experimentally compare the effect of the density of these types of facts on the quality of articles in Russian Wikipedia. Better articles tend to have a higher density of facts.

Keywords

Russian Wikipedia Article quality Fact extraction Logical equations 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nina Khairova
    • 1
  • Włodzimierz Lewoniewski
    • 2
  • Krzysztof Węcel
    • 2
  1. 1.National Technical University “Kharkiv Polytechnic Institute”KharkivUkraine
  2. 2.Poznań University of Economics and BusinessPoznańPoland

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