• DocumentCode
    1694059
  • Title

    A Query-Focused Summarization Method that Guarantees the Inclusion of Query Words

  • Author

    Yasuda, Norihito ; Nishino, Masaaki ; Hirao, Tsutomu ; Suzuki, Jun ; Kataoka, Ryoji

  • Author_Institution
    NTT Cyber Solutions Labs., NTT Corp., Yokosuka, Japan
  • fYear
    2012
  • Firstpage
    126
  • Lastpage
    130
  • Abstract
    Query-focused summarization is a variant of automatic summarization that uses a given query to generate summaries. It is used, for example, to generate search result snippets. Although conventional score-based methods tend to generate summaries that contain words in the given query, they offer no guarantees of that. We show that such guarantees can be formulated as an optimization problem where one constraint is that the generated summary contains at least some of the words in the query. We also show that the formulated optimization problem can be efficiently solved by using Lagrangian relaxation.
  • Keywords
    optimisation; query processing; Lagrangian relaxation; automatic summarization; optimization problem; query word inclusion; query-focused summarization method; score-based methods; search result snippets; Conferences; Lagrangian functions; Linear programming; Natural language processing; Optimization; Search problems; automatic summarization; query-focused summarization; search result snippets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on
  • Conference_Location
    Vienna
  • ISSN
    1529-4188
  • Print_ISBN
    978-1-4673-2621-6
  • Type

    conf

  • DOI
    10.1109/DEXA.2012.59
  • Filename
    6327414