publication . Conference object . 2012

Two-Stage Named-Entity Recognition Using Averaged Perceptrons

Buitinck, L.; Marx, M.; Bouma, G.; Ittoo, A.; Métais, E.; Wortmann, H.;
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  • Published: 01 Jan 2012
  • Publisher: Springer Berlin Heidelberg
  • Country: Netherlands
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.
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free text keywords: Simple (abstract algebra), Artificial intelligence, business.industry, business, Named-entity recognition, computer.software_genre, computer, Computer science, Perceptron, Stage (hydrology)
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Conference object . 2012
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https://doi.org/10.1007/978-3-...
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