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International Conference on Text, Speech and Dialogue

TSD 2011: Text, Speech and Dialogue pp 203–210Cite as

Maximum Entropy Named Entity Recognition for Czech Language

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6836))

Abstract

Named Entity Recognition (NER) is an important preprocessing tool for many Natural Language Processing tasks like Information Retrieval, Question Answering or Machine Translation. This paper is focused on NER for Czech language. The proposed NER is based on knowledge and experiences acquired on other languages and adapted for Czech. Our recognizer outperforms the previously introduced recognizers for Czech. The article is also focused on the use of semantic spaces for NER. Although no significant improvement was yet achieved in this way, we believe that the research is worth of sharing.

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Author information

Authors and Affiliations

  1. Laboratory of Intelligent Communication Systems, University of West Bohemia, Univerzitni 8, 30614, Pilsen, Czech Republic

    Michal Konkol & Miloslav Konopík

Authors
  1. Michal Konkol
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  2. Miloslav Konopík
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Editor information

Editors and Affiliations

  1. Department of Computer Sciences, University of West Bohemia, Univerzitní 22, 306 14, Pilsen, Czech Republic

    Ivan Habernal

  2. Faculty of Applied Sciences, Dept. of Computer Science and Engineering, University of West Bohemia, Univerzitni 8, 306 14, Pilsen, Czech Republic

    Václav Matoušek

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© 2011 Springer-Verlag Berlin Heidelberg

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Konkol, M., Konopík, M. (2011). Maximum Entropy Named Entity Recognition for Czech Language. In: Habernal, I., Matoušek, V. (eds) Text, Speech and Dialogue. TSD 2011. Lecture Notes in Computer Science(), vol 6836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23538-2_26

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  • DOI: https://doi.org/10.1007/978-3-642-23538-2_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23537-5

  • Online ISBN: 978-3-642-23538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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