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Text Analysis in Mathematics

  • Conference paper
Intelligent Computer Mathematics (CICM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7961))

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Abstract

A high-quality content analysis is essential for retrieval functionalities but the manual extraction of key phrases and classification is expensive. Natural language processing provides a framework to automatize the process. Here, a machine-based approach for the content analysis of mathematical texts is described. A prototype for key phrase extraction and classification of mathematical texts is presented.

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References

  1. The database zbMATH, http://www.zentralblatt-math.org/zbmath/

  2. Mathematics Subject Classification (MSC), http://www.msc2010.org

  3. Santorini, B.: Part-of-Speech-Tagghing guidelines for the Penn Treebank Project (3rd Revision, 2nd printing) (June 1990), ftp://ftp.cis.upenn.edu/pub/treebank/doc/tagguide.ps.gz

  4. Greene, B.B., Rubin, G.M.: Automatic grammatical tagging of English. Brown University, Providence (1981)

    Google Scholar 

  5. Samuelsson, C., Voutilainen, A.: Comparing a linguistic and a stochastic tagger. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, pp. 246–253 (1997)

    Google Scholar 

  6. Encyclopedia of Mathematics, http://www.encyclopediaofmath.org/index.php/Main_Page

  7. PlanetMath, http://planetmath.org/

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Author information

Authors and Affiliations

  1. FIZ Karlsruhe/Zentralblatt MATH, Franklinstr. 11, 10587, Berlin, Germany

    Ulf Schöneberg & Wolfram Sperber

Authors
  1. Ulf Schöneberg
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  2. Wolfram Sperber
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Editor information

Editors and Affiliations

  1. Computing and Software, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada

    Jacques Carette

  2. School of Informatics, University of Edinburgh, 10 Crichton Street, EH8 9AB, Edinburgh, Scotland, UK

    David Aspinall

  3. School of Computer Science, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK

    Christoph Lange

  4. Faculty of Informatics, Department of Computer Graphics and Design, Masaryk University, Botanická 68a, 60200, Brno, Czech Republic

    Petr Sojka

  5. Johannes Kepler University Linz (JKU), RISC, Altenberger Strasse 69, 4040, Linz, Austria

    Wolfgang Windsteiger

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© 2013 Springer-Verlag Berlin Heidelberg

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Schöneberg, U., Sperber, W. (2013). The DeLiVerMATH Project. In: Carette, J., Aspinall, D., Lange, C., Sojka, P., Windsteiger, W. (eds) Intelligent Computer Mathematics. CICM 2013. Lecture Notes in Computer Science(), vol 7961. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39320-4_33

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  • DOI: https://doi.org/10.1007/978-3-642-39320-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39319-8

  • Online ISBN: 978-3-642-39320-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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