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Automatic Analysis of Large Text Corpora - A Contribution to Structuring WEB Communities

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Innovative Internet Computing Systems (IICS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2346))

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Abstract

This paper describes a corpus linguistic analysis of large text corpora based on collocations with the aim of extracting semantic relations from unstructured text. We regard this approach as a viable method for generating and structuring information about WEB communities. Starting from a short description of our corpora as well as our language analysis tools, we discuss in depth the automatic generation of collocation sets. We further give examples of different types of relations that may be found in collocation sets for arbitrary terms. We conclude with a brief discussion of applying our approach to the analysis of a sample community.

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Author information

Authors and Affiliations

  1. Computer Science Institute, Natural Language Processing Department, Leipzig University, Augustusplatz 10/11, D-04109, Leipzig

    Gerhard Heyer, Uwe Quasthoff & Christian Wolff

Authors
  1. Gerhard Heyer
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  2. Uwe Quasthoff
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  3. Christian Wolff
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Editor information

Editors and Affiliations

  1. FB Informatik, Universität Rostock, 18051, Rostock, Germany

    Herwig Unger

  2. Institut für Mathematik, TU Illmenau, Postfach 10 05 65, 98684, Ilmenau, Germany

    Thomas Böhme

  3. College of Art and Sciences, Department of Computer Science, University of North Texas, 76203, Denton, TX, USA

    Armin Mikler

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© 2002 Springer-Verlag Berlin Heidelberg

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Heyer, G., Quasthoff, U., Wolff, C. (2002). Automatic Analysis of Large Text Corpora - A Contribution to Structuring WEB Communities. In: Unger, H., Böhme, T., Mikler, A. (eds) Innovative Internet Computing Systems. IICS 2002. Lecture Notes in Computer Science, vol 2346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48080-3_2

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  • DOI: https://doi.org/10.1007/3-540-48080-3_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43790-1

  • Online ISBN: 978-3-540-48080-8

  • eBook Packages: Springer Book Archive

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