Chinese Named Entity Recognition Based on Hierarchical Hybrid Model

  title={Chinese Named Entity Recognition Based on Hierarchical Hybrid Model},
  author={Zhihua Liao and Zili Zhang and Yang Liu},
Chinese named entity recognition is a challenging, difficult, yet important task in natural language processing. This paper presents a novel approach based on a hierarchical hybrid model to recognize Chinese named entities. Three mutually dependent stages-boosting, Markov Logic Networks (MLNs) based recognition, and abbreviation detection are integrated in the model. AdaBoost algorithm is utilized for fast recognition of simple named entities first. More complex named entities are then piped… CONTINUE READING

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  • The results show that our approach can improve the performance significantly with precision of 94.38%, recall of 93.89%, and Fβ=1.
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