Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources

Watrin, Patrick;de Viron, Louis;Lebailly, Denis;Constant, Mathieu;Weiser, Stéphanie
(2014) Konvens — Location: Hildesheim, Germany (8.October.2014)

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Authors
  • Watrin, PatrickUCLouvain
    Author
  • de Viron, LouisEarlytracks
    Author
  • Lebailly, DenisEarlytracks
    Author
  • Constant, MathieuAtilf
    Author
  • Weiser, StéphanieEarlytracks
    Author
Abstract
This paper presents a Named Entity Recognition system for German based on Conditional Random Fields. The model also includes language-independant features and features computed form large coverage lexical resources. Along side the results themselves, we show that by adding linguistic resources to a probabilistic model, the results improve significantly.
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Watrin, P., de Viron, L., Lebailly, D., Constant, M., & Weiser, S. (2014). Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources. Proceedings of the GermEval 2014 Named Entity Recognition Shared Task (KONVENS 2014). Published. Konvens, Hildesheim, Germany.