- Two-stage named-entity recognition using averaged perceptrons
- Lecture Notes in Computer Science
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
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.
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- Proceedings title: Natural language processing and information systems: 17th International Conference On Applications Of Natural
Language To Information Systems, NLDB 2012, Groningen, The Netherlands, June 26-28 2012: proceedings
Place of publication: Heidelberg
Editors: G. Bouma, A. Ittoo, E. Métais, H. Wortmann
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