Two-stage named-entity recognition using averaged perceptrons
| Authors |
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| Publication date | 2012 |
| Host editors |
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| 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 |
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| ISBN (electronic) |
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| 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 |
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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. |
| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-642-31178-9_17
(Final published version)
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