• DocumentCode
    2034319
  • Title

    The design and implementation of domain-specific text summarization system based on co-reference resolution algorithm

  • Author

    Shi Ziyan

  • Author_Institution
    Inf. Countermeasure Dept., Air Force Radar Acad., Wuhan, China
  • Volume
    5
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2390
  • Lastpage
    2394
  • Abstract
    In order to benefit from the vast amounts of information quickly and accurately, topics on automatic abstracting have become more and more popular. Compared with the traditional automatic abstracting methods, we adopted the statistic methods and word list in domain-specific field to develop domain-specific text summarization system. Referring is a common phenomenon in the real life. In the process of text handling, referring often leads to inaccurate results. To solve the problem caused by the referring, combined with the current studies, this paper introduced co-reference resolution algorithm and the implementation of domain-specific text summarization system based on resolution algorithm. By analyzing the referring phenomenon in the original text, term frequency and sentence importance are recalculated to obtain new abstracting results.
  • Keywords
    abstracting; statistics; text analysis; automatic abstracting; coreference resolution algorithm; domain specific text summarization system; referring phenomenon; statistic methods; text handling; Algorithm design and analysis; Feature extraction; Force; Indexes; Length measurement; Radar countermeasures; Semantics; Automatic Abstracting; Co-reference Resolution Algorithm; Domain-Specific;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569529
  • Filename
    5569529