Characterizing Health-Related Community Question Answering

  • Alexander Beloborodov
  • Artem Kuznetsov
  • Pavel Braslavski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7814)


Our ongoing project is aimed at improving information access to narrow-domain collections of questions and answers. This poster demonstrates how out-of-the-box tools and domain dictionaries can be applied to community question answering (CQA) content in health domain. This approach can be used to improve user interfaces and search over CQA data, as well as to evaluate content quality. The study is a first-time use of a sizable dataset from the Russian CQA site Otvety@Mail.Ru.


community question answering CQA consumer health information content analysis latent Dirichlet allocation LDA Otvety@Mail.Ru 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alexander Beloborodov
    • 1
  • Artem Kuznetsov
    • 1
  • Pavel Braslavski
    • 1
    • 2
  1. 1.Institute of Mathematics and Computer ScienceUral Federal UniversityRussia
  2. 2.Kontur Labs.YekaterinburgRussia

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