Memory-based named entity recognition

  • Authors:
  • Erik F. Tjong Kim Sang

  • Affiliations:
  • University of Antwerp

  • Venue:
  • COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
  • Year:
  • 2002

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Abstract

We apply a memory-based learner to the CoNLL-2002 shared task: language-independent named entity recognition. We use three additional techniques for improving the base performance of the learner: cascading, feature selection and system combination. The overall system is trained with two types of features: words and substrings of words which are relevant for this particular task. It is tested on the two language pairs that were available for this shared task: Spanish and Dutch.