Automatic text summarizing based on sentence extraction: A statistical approach

Bogdan Cranganu-Cretu, Zhenmao Chen, Tetsuya Uchimoto, Kenzo Miya

研究成果: Article査読

4 被引用数 (Scopus)

抄録

The present work describes a system for automatic summarizing of texts. Rather than focusing on abstracts C a hard NLP task of not asserted effectiveness the system produces extracts through selection of most important sentences in the original text. Statistical concepts are involved in order to evaluate the degree of significance of words, groups of words and sentences. Currently both Japanese and English texts can be treated. Procedures for computing importance, information content of sentences and measures of correlation between sentences are implemented. Comments are given on the feasibility of the approach and future developments.

本文言語English
ページ(範囲)19-23
ページ数5
ジャーナルInternational Journal of Applied Electromagnetics and Mechanics
13
1-4 SPEC.
出版ステータスPublished - 2001 12月 1
外部発表はい

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • 材料力学
  • 機械工学
  • 電子工学および電気工学

フィンガープリント

「Automatic text summarizing based on sentence extraction: A statistical approach」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル