A mathematic model for automatic summarization

  • Authors:

  • Zhiqi Wang;Yongcheng Wang;Kai Gao

  • Affiliations:

  • Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
  • Year:
  • 2005

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Abstract

Automatic Summarization is need of the era. Mathematics is an important tool of nonfigurative thinking. A mathematic model of automatic summarization is established and discussed in the paper. The model makes use of meta-knowledge to describe the composition of the summary and help to calculate the semantic distance between summary and source document. It is proposed that how to get meta-knowledge aggregate and their weight are the key problems in the model.