Traditional Chinese Medicine (TCM) synonym recognition based on BERT

The research of TCM informatization is usually based on the text of the patient's symptoms. TCM physicians use synonyms to describe a patient's symptoms, which can cause data redundancy in the patient's symptom text. Therefore, in the process of TCM informatization, it is first necessary to process the TCM text and standardize the synonyms in the symptom text. In this paper, a synonym set is constructed based on the symptom text of patients, and the ED-BERT model is proposed for the normalization of symptom texts in traditional Chinese medicine, which lays a foundation for the follow-up research of traditional Chinese medicine informatization. The accuracy of the proposed model for TCM synonym recognition reaches 0.8613, which has advanced advantages over traditional methods.