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The C-value/NC-value Method of Automatic Recognition for Multi-word Terms

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Research and Advanced Technology for Digital Libraries (ECDL 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1513))

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Abstract

Technical terms (henceforth called simply terms), are important elements for digital libraries. In this paper we present a domainindependent method for the automatic extraction of multi-word terms, from machine-readable special language corpora.

The method, (C-value/NC-value), combines linguistic and statistical information. The first part, C-value enhances the common statistical measure of frequency of occurrence for term extraction, making it sensitive to a particular type of multi-word terms, the nested terms. The second part, NC-value, gives: 1) a method for the extraction of term context words (words that tend to appear with terms), 2) the incorporation of information from term context words to the extraction of terms.

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Author information

Authors and Affiliations

  1. Dept. of Computing and Mathematics, Manchester Metropolitan University, Chester Str., Manchester, M1 5GD, UK

    Katerina T. Frantzi & Sophia Ananiadou

  2. Dept. of Information Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113, Japan

    Junichi Tsujii

Authors
  1. Katerina T. Frantzi
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  2. Sophia Ananiadou
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  3. Junichi Tsujii
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Editor information

Editors and Affiliations

  1. Foundation for Research and Technology - Hellas (FORTH) Science and Technology Park of Crete, Institute of Computer Science (ICS), GR-71110, Heraklion, Crete, Greece

    Christos Nikolaou  & Constantine Stephanidis  & 

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© 1998 Springer-Verlag Berlin Heidelberg

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Frantzi, K.T., Ananiadou, S., Tsujii, J. (1998). The C-value/NC-value Method of Automatic Recognition for Multi-word Terms. In: Nikolaou, C., Stephanidis, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1998. Lecture Notes in Computer Science, vol 1513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49653-X_35

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  • DOI: https://doi.org/10.1007/3-540-49653-X_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65101-7

  • Online ISBN: 978-3-540-49653-3

  • eBook Packages: Springer Book Archive

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