Comparison of Text Forum Summarization Depending on Query Type for Text Forums

  • Vladislav GrozinEmail author
  • Kseniya Buraya
  • Natalia Gusarova
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 387)


Various approaches are developed for evaluation of query-oriented text summarization. However, for text forums this procedure is not well-defined, and standard approaches are not suitable. Evaluation of query-oriented text summarization greatly depends on the query type. We compare two typical scenarios of search of professionally significant information on Internet forums. Our subject of interest is the similarities and differences between relevance-oriented queries and usefulness-oriented queries. To compare these query types we have collected dataset, extracted textual, structural features and social graph features, constructed different ranking models, used suitable quality measure (NDCG), and applied feature selection techniques to investigate causes of differences. We have found out that these query types are very different by their nature, have weak correlation. Distinct model types and features should be used in order to create an efficient information retrieval system for each query type.


Target Variable Information Retrieval System Query Type Social Graph Text Summarization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Vladislav Grozin
    • 1
    Email author
  • Kseniya Buraya
    • 1
  • Natalia Gusarova
    • 1
  1. 1.Mechanics and OpticsNational Research University of Information TechnologiesSaint-PetersburgRussia

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