• DocumentCode
    3205544
  • Title

    An approach to sentence-selection-based text summarization

  • Author

    Chen, Fang ; Han, Kesong ; Chen, Guilin

  • Author_Institution
    Motorola Australia Res. Centre, Sydney, NSW, Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    28-31 Oct. 2002
  • Firstpage
    489
  • Abstract
    We introduced a newly developed text summarization system. It supports both Chinese and English, while this paper focuses on Chinese processing. We apply 6 word level features and 3 sentence level features to weigh each word and sentence. We also describe two new techniques, one is for processing the topic sensitive word feature and another is for processing the sentence length feature. Primary subjective evaluation shows that these approaches are effective and efficient, and performance of the system is promising.
  • Keywords
    feature extraction; text analysis; word processing; Chinese processing; performance; sentence length feature; sentence level features; sentence selection; text summarization; topic sensitive word feature; word level features; Australia; Character generation; Costing; Costs; Kernel; Supervised learning; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
  • Print_ISBN
    0-7803-7490-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2002.1181320
  • Filename
    1181320