Named Entities in Czech: Annotating Data and Developing NE Tagger

  • Magda Ševčíková
  • Zdeněk Žabokrtský
  • Oldřich Krůza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4629)


This paper deals with the treatment of Named Entities (NEs) in Czech. We introduce a two-level NE classification. We have used this classification for manual annotation of two thousand sentences, gaining more than 11,000 NE instances. Employing the annotated data and Machine-Learning techniques (namely the top-down induction of decision trees), we have developed and evaluated a software system aimed at automatic detection and classification of NEs in Czech texts.


Manual Annotation Computational Linguistics Annotate Data Trigger Word Capitalize Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Magda Ševčíková
    • 1
  • Zdeněk Žabokrtský
    • 1
  • Oldřich Krůza
    • 1
  1. 1.Faculty of Mathematics and Physics, Charles University, Malostranské nám. 25, CZ-11800 PragueCzech Republic

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