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Encyclopedia of Database Systems pp 3079–3083Cite as

Text Summarization

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Synonyms

Document summarization

Definition

Text summarization is the process of distilling the most important information from a text to produce an abridged version for a particular task and user [9].

Historical Background

With more and more digitalized text being available, especially with the development of the Internet, people are being overwhelmed with data. How to help people effectively and efficiently capture the information from the data becomes extremely important. Many techniques have been proposed for this goal and text summarization is one of them.

Text summarization in some form has been in existence since the 1950s [8]. Two main influences have dominated the research in this area, as summarized by Mani in [10]. Work in library science, office automation, and information retrieval has resulted in a focus on methods for producing extracts from scientific papers, including the use of “shallow” linguistic analysis and the use of term statistics. The other influence has been...

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Recommended Reading

  1. Berry M.W., Dumais S.T., and O’Brien G.W. Using linear algebra for intelligent information retrieval. SIAM Rev., 37(4): 573–595, 1995.

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  5. Gong Y. and Liu X. Generic text summarization using relevance measure and latent semantic analysis. In Proc. 24th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 2001, pp. 19–25.

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  8. Luhn H.P. The automatic creation of literature abstracts. IBM J. Res. Dev., 2(2), 1958.

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  9. Mani I. Advances in Automatic Text Summarization. MIT, Cambridge, MA, USA, 1999.

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  10. Mani I. Recent developments in text summarization. In Proc. 10th Int. Conf. on Information and Knowledge Management, pp. 529–531. 2001,

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  11. Marcu D. From discourse structures to text summaries. In Proc. ACL Workshop on Intelligent Scalable Text Summarization, 1997, pp. 82–88.

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  12. Mihalcea R. Language independent extractive summarization. In Proc. 20th National Conf. on AI and 17th Innovative Applications of AI Conf., 2005, pp. 1688–1689.

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  13. Shen D., Chen Z., Yang Q., Zeng H.-J., Zhang B., Lu Y., and Ma W.-Y. Web-page classification through summarization. In Proc. 30th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 2004, pp. 242–249.

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  14. Shen D., Sun J.-T., Li H., Yang Q., and Chen Z. Document summarization using conditional random fields. In Proc. 20th Int. Joint Conf. on AI, 2007, pp. 2862–2867.

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  15. Teufel S. and Moens M. Sentence extraction as a classification task. In Proc. ACL Workshop on Intelligent Text Summarization. 1997, pp. 58–65.

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Author information

Authors and Affiliations

  1. Microsoft Corporation, Redmond, WA, USA

    Dou Shen

Authors
  1. Dou Shen
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Shen, D. (2009). Text Summarization. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_424

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