• DocumentCode
    3626322
  • Title

    Comparing four Methods to Select Keywords that Use n-Grams to Generate Summaries

  • Author

    Lorena Leal Bando;Karina Rosales Lopez;Mireya Tovar Vidal;Darnes Vilarino Ayala;Beatriz Beltran Martinez

  • Author_Institution
    Benemerita Universidad Autonoma de Puebla, Mexico
  • fYear
    2007
  • Firstpage
    724
  • Lastpage
    728
  • Abstract
    In this paper an algorithm to generate document extracts is proposed. This extract is composed of the most significative sentences of the current document. These sentences are chosen by considering their similitude with a so-denominated virtual paragraph (VP). The VP is formed by the key words that are obtained by the four methods that use n-grams, employed in this research. The experiments are performed over 100 documents of the DUC-2000 collection.
  • Keywords
    "Data mining","Robots","Automotive engineering","FCC","Logic","Automation","Information retrieval","Frequency","Genetic algorithms","Vocabulary"
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007
  • Print_ISBN
    0-7695-2974-7;978-0-7695-2974-5
  • Type

    conf

  • DOI
    10.1109/CERMA.2007.4367773
  • Filename
    4367773
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3626322