An Automatic Extraction of Important Sentences Using Statistical Information and Structural Feature

• REN Fuji

  Faculty of Information Sciences, Hiroshima City University

• SADANAGA Yasushi

  Faculty of Information Sciences, Hiroshima City University

Bibliographic Information

Other Title

• 統計情報と文章構造特徴に基づく重要文の自動抽出

Abstract

The advent of inexpensive mass storage, particularly CD-ROM, has made possible the publication of intellectual properties such as books or journals in electronic form. Several experimental studies have been conducted to answer how to effectively access the text information. In this paper, we propose a method for extracting important sentences in articles based on statistical information and structural feature. An experimental system based on this method was constructed and an experiment on five papers was carried out. The result shows that the proposed method is effective.

Journal

• IPSJ SIG Notes

  IPSJ SIG Notes 125 71-78, 1998-05-28

  Information Processing Society of Japan (IPSJ)

Details

• CRID: 1574231876944461312
• NII Article ID: 110002934727
• NII Book ID: AN10115061
• Text Lang: ja
• Data Source:
  • CiNii Articles