Two-Stage named-entity recognition using averaged perceptrons

Authors:
Lars Buitinck;Maarten Marx
Affiliations:
Information and Language Processing Systems, Informatics Institute, University of Amsterdam, The Netherlands;Information and Language Processing Systems, Informatics Institute, University of Amsterdam, The Netherlands
Venue:
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Year:
2012

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Abstract

We describe a simple approach to named-entity recognition (NER), aimed initially at the Dutch language, but potentially applicable to other languages. Our NER system employs a two-stage architecture, with handcrafted but dataset-independent features for both stages, and is on a par with state-of-the-art systems described in the literature. Notably, our approach does not depend on language-specific assets such as gazetteers. The resulting system is quite fast and is implemented in less than 500 lines of code.