Summarizing based on concept counting and hierarchy analysis

Heng Ji, Zhensheng Luo, Min Wan, Xiaoyun Gao

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper puts forward a new summarizing method based on concept counting and hierarchy analysis. By concept extraction and semantic analysis we developed an effective English Text Summarizing system. This system uses topic concepts to construct Vector Space Model and partition semantic paragraphs. And combined with readability improvement, the abstract of a text is generated. This paper proposes the parameters to select topic concepts, and describes the detailed algorithm of concept hierarchy tree building, concept counting and its application in summarizing. The experiment result shows that compared to word counting, this new method has preferably improved the performance of the system, and it helps to solve the abstract distribution problem of multi-topic texts.

Original languageEnglish (US)
Pages (from-to)268-273
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume3
StatePublished - Dec 1 2002
Externally publishedYes
Event2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
Duration: Oct 6 2002Oct 9 2002

Keywords

  • Concept Counting
  • Sentence Significance
  • Topic Concept
  • Vector Space Model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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