Named entity extraction with conditional Markov models and classifiers

Authors:
Martin Jansche
Affiliations:
The Ohio State University, Columbus, OH
Venue:
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Year:
2002

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Abstract

Our approach to multilingual named entity (NE) recognition in the context of the CoNLL Shared Task consists of the following ingredients:Feature engineering A human expert (though not necessarily a language expert) determines relevant features to be used to determine whether or not a word is part of a named entity.