Two-stage named-entity recognition using averaged perceptrons

Authors
Publication date 2012
Host editors
  • G. Bouma
  • A. Ittoo
  • E. Métais
  • H. Wortmann
Book title Natural Language Processing and Information Systems
Book subtitle 17th International Conference On Applications Of Natural Language To Information Systems, NLDB 2012, Groningen, The Netherlands, June 26-28 2012: proceedings
ISBN
  • 9783642311772
ISBN (electronic)
  • 9783642311789
Series Lecture Notes in Computer Science
Event 17th International Conference On Applications Of Natural Language To Information Systems, NLDB 2012
Pages (from-to) 171-176
Publisher Heidelberg: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-31178-9_17
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