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Extractive Summarization Based on Word Information and Sentence Position

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Computational Linguistics and Intelligent Text Processing (CICLing 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3406))

Abstract

This paper describes an unsupervised experiment of automatic summarization. The idea is to rate each sentence of a document according to the information content of its graphical words. Also, as a minimal measure of document structure, we added a sentence position coefficient.

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Author information

Authors and Affiliations

  1. GIL IINGEN UNAM, Apartado Postal 70-472, 04510, Coyoacán, DF, Mexico

    Carlos Méndez Cruz & Alfonso Medina Urrea

Authors
  1. Carlos Méndez Cruz
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  2. Alfonso Medina Urrea
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Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México

    Alexander Gelbukh

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© 2005 Springer-Verlag Berlin Heidelberg

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Cruz, C.M., Urrea, A.M. (2005). Extractive Summarization Based on Word Information and Sentence Position. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_73

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  • DOI: https://doi.org/10.1007/978-3-540-30586-6_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24523-0

  • Online ISBN: 978-3-540-30586-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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