Summarizing Newspaper Articles Using Extracted Informative and Functional Words

Mamiko Hatayama+ Yoshihiro Matsuo+ Satoshi Shirai++

+NTT Communication Science Laboratories
2-4 Hikari-dai, Seika-cho, Soraku-gun, Kyoto, 619-0237
{mamiko,yosihiro}@cslab.kecl.ntt.co.jp

++ATR Spoken Language Translation Laboratories
2-2 Hikari-dal, Seika-cho, Soraku-gun, Kyoto, 619-0288
shirai@slt.atr.co.jp


Abstract

In this paper, we propose a new summarization method which uses a case frame dictionary to extract important words and phrases from a newspaper article. Because we extract only the important elements, our summarization system ALTLINE can produce a very short summary. We designed all evaluation criterion for summarization systems, ALTLINE achieves results comparable with human summarization.

Keywords

Automatic text summarization    extraction    Natural Language Processing



[ IPSJ SIG Notes, 01-NL-141-16, pp.95-101 (January, 2001). ]