• DocumentCode
    2545072
  • Title

    Multi-document summarization based on rhetorical structure: Sentence extraction and evaluation

  • Author

    Yong-dong, Xu ; Xiao-long, Wang ; Tao, Liu ; Zhi-ming, Xu

  • Author_Institution
    Harbin Inst. of Technol., Harbin
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    3034
  • Lastpage
    3039
  • Abstract
    A Multi-document Rhetorical Structure (MRS) is proposed for multi-document automatic summarization task. This structure can represent interrelationship between text units at different levels of granularity and can describe simultaneously the happen and change of various events. MRS simplify traditional multi-document representation in cross structure theory and supplement change and distribution information of events topics which cannot be obtained in information fusion theory. Concretely, a series of algorithms including building MRS, multi-document information fusion based MRS and summarization generation are proposed. The capability of concurrently fuse multiple knowledge sources of MRS strategies is testified by sets of experiments and shows good result.
  • Keywords
    text analysis; cross structure theory; information fusion theory; multidocument automatic summarization task; multidocument information fusion; multidocument representation; multidocument rhetorical structure; multidocument summarization; sentence evaluation; sentence extraction; summarization generation; Buildings; Computer science; Data mining; Data structures; Fuses; Fusion power generation; Internet; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413925
  • Filename
    4413925