A Greek Named-Entity Recognizer That Uses Support Vector Machines and Active Learning

  • Georgios Lucarelli
  • Ion Androutsopoulos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3955)


We present a named-entity recognizer for Greek person names and temporal expressions. For temporal expressions, it relies on semi- automatically produced patterns. For person names, it employs two Support Vector Machines, that scan the input text in two passes, and active learning, which reduces the human annotation effort during training.


Support Vector Machine Active Learning Natural Language Processing Temporal Expression Training Instance 
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 2006

Authors and Affiliations

  • Georgios Lucarelli
    • 1
  • Ion Androutsopoulos
    • 1
  1. 1.Dept. of InformaticsAthens University of Economics and BusinessAthensGreece

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