An effective sentence-extraction technique using contextual information and statistical approaches for text summarization

  • Authors:

  • Youngjoong Ko;Jungyun Seo

  • Affiliations:

  • Department of Computer Engineering, Dong-A University, 840 Hadan 2-dong, Saha-gu, Busan 604-714, Republic of Korea;Department of Computer Science and Interdisciplinary Program of Integrated Biotechnology, Sogang University, Sinsu-dong, Mapo-gu, Seoul 121-742, Republic of Korea

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2008

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Abstract

This paper proposes an effective method to extract salient sentences using contextual information and statistical approaches for text summarization. The proposed method combines two consecutive sentences into a bi-gram pseudo sentence so that contextual information is applied to statistical sentence-extraction techniques. Salient bi-gram pseudo sentences are first selected by the statistical sentence-extraction techniques, and then each selected bi-gram pseudo sentence is separated into two single sentences. The second sentence-extraction task for the separated single sentences is performed to make a final text summary. Because the proposed method uses the contextual information with the bi-gram pseudo sentences and combines the statistical sentence-extraction techniques effectively, it can achieve high performance. As a result, the proposed method showed better performance than other sentence-extraction methods in both single- and multi-document summarization.