Incremental summarization using taxonomy

  • Authors:
  • DongHyun Choi;Key-Sun Choi

  • Affiliations:
  • KAIST, Daejeon, South Korea;KAIST, Daejeon, South Korea

  • Venue:
  • Proceedings of the fifth international conference on Knowledge capture
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, a new summarization system is proposed, which summarizes a document by interactively scoring the sentences using already-extracted summary so that the sentence which contains the most amount of relevant information to the summary to be extracted. To calculate the amount of relevant information contained by a sentence, the system makes heavy use of already existing taxonomies. The experiment shows a result pretty close to the current state-of-the-art systems.