• DocumentCode
    2410547
  • Title

    Sentence Descending Algorithm for Automatic Text Summarization

  • Author

    Zhu, Tiedan ; Liu, Qiongxin

  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    This paper proposes a novel method for automatic text summarization. The topic space model is built through the Chinese Restaurant Process. The documents are mapped to the topic space from vector space. Sentence descending algorithm is introduced to create the summary. An experiment is illustrated on DUC2006 data and the results prove the proposed method effective and well performed.
  • Keywords
    Algorithm design and analysis; Computational modeling; Extraterrestrial measurements; Mathematical model; Resource management; Semantics; Vectors; Automatic Text Summarization; Chinese Restaurant Process; Sentence descending algorithm; Topic Space Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2011 International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    978-1-4577-1540-2
  • Type

    conf

  • DOI
    10.1109/ICCIS.2011.249
  • Filename
    6086195
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2410547