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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
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Specifically, this model is a TCMRoBERTa model, a fine-tuned model of RoBERTa for Traditional Chinese medicine, that was fine-tuned on the Chinese version of the Haiwei AI Lab's Named Entity Recognition dataset.
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license: apache-2.0
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language:
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- zh
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tags:
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- NER
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- TCM
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- Traditional Chinese Medicine
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- medical
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---
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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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Specifically, this model is a TCMRoBERTa model, a fine-tuned model of RoBERTa for Traditional Chinese medicine, that was fine-tuned on the Chinese version of the Haiwei AI Lab's Named Entity Recognition dataset.
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