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  # TCMNER
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  # Model description
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  TCMNER is a fine-tuned BERT model that is ready to use for Named Entity Recognition of Traditional Chinese Medicine and achieves state-of-the-art performance for the NER task. It has been trained to recognize six types of entities: prescription (方剂), herb (本草), source (来源), disease (病名), symptom (症状) and syndrome(证型).
 
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  # TCMNER
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+ [About Author](https://github.com/huangxinping).
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+ [Our Products](https://zhongyigen.com)
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  # Model description
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  TCMNER is a fine-tuned BERT model that is ready to use for Named Entity Recognition of Traditional Chinese Medicine and achieves state-of-the-art performance for the NER task. It has been trained to recognize six types of entities: prescription (方剂), herb (本草), source (来源), disease (病名), symptom (症状) and syndrome(证型).