Automatic text summarization using two-step sentence extraction

Authors:
Wooncheol Jung;Youngjoong Ko;Jungyun Seo
Affiliations:
Department of Computer Science and Program of Integrated Biotechnology, Sogang University, Seoul, Korea;Division of Electronics and Computer Engineering, Dong-A University, Busan, Korea;Department of Computer Science and Program of Integrated Biotechnology, Sogang University, Seoul, Korea
Venue:
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Year:
2004

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Abstract

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.