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Background Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied to building applications to understand these records. Most previous methods have been purely data-driven, requiring high-quality and large-scale labeled medical data. However, labeled data is expensive to obtain, and these data-driven methods are difficult to handle rare and unseen entities. Methods To tackle these problems, this study presents adoi:10.1186/s12911-021-01717-1 pmid:34972505 pmcid:PMC8719412 fatcat:w2lb7vq5g5gctol47nbaj5zyma