Chinese Named Entity Recognition with Conditional Random Fields
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Summary
A Chinese Named Entity Recognition (NER) system submitted to the close track of Sighan Bakeoff2006 is presented, which incorporates basic features and additional features based on Conditional Random Fields (CRFs) in order to correct inconsistently results.
- Type
- article
- Published
- 2006-07-01
- Cited by
- 88
- References
- 6
- OpenAlex
- https://openalex.org/W182104056
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12133620
Keywords
CRFS, Conditional random field, Named-entity recognition, Computer science, Artificial intelligence
References
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- Research on Chinese Named Entity Recognition Based on Ontology
- An efficient feature selection method using named entity recognition for Chinese text categorization
- Named entity recognition in Vietnamese using classifier voting
- Minimum tag error for discriminative training of conditional random fields
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- Studies on automatic recognition of Chinese adverb CAI's usages based on statistics
- Detecting, categorizing and clustering entity mentions in Chinese text
- A hybrid approach for chinese pronunciation-translated person names recognition
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- Recognizing location names from Chinese texts based on Max-Margin Markov Network
- A CRF-based system for recognizing chemical entity mentions (CEMs) in biomedical literature
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