Automatic text summarization using two-step sentence extraction

被引：0
|
作者：
Jung, WC
Ko, YJ
Seo, JY
机构：
[1] Sogang Univ, Dept Comp Sci, Seoul 121742, South Korea
[2] Sogang Univ, Program Integrated Biotechnol, Seoul 121742, South Korea
[3] Dong A Univ, Div Elect & Comp Engn, Pusan 604714, South Korea
来源：
INFORMATION RETRIEVAL TECHNOLOGY | 2005年 / 3411卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automatic text summarization sets the goal at reducing the size of a document while preserving its content. Our summarization system is based on Two-step Sentence Extraction. As it combines statistical methods and reduces noise data through two steps efficiently, it can achieve high performance. In our experiments for 30% compression and 10% compression, our method is compared with Title, Location, Aggregation Similarity, and DOCUSUM methods. As a result, our method showed higher performance than other methods.
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页码：71 / 81
页数：11
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