Research Article
Research on Named Entity Recognition of Electronic Medical Records Based on RoBERTa and Radical-Level Feature
Table 2
Comparison of three pretraining models on CCKS2017.
| Model | Precision | Recall | F1 score |
| BERT+CRF | 89.78 | 91.64 | 90.70 | ALBERT+CRF | 89.12 | 91.38 | 90.24 | RoBERTa-wwm-ext+CRF | 92.62 | 90.35 | 91.47 | RoBERTa-wwm-ext-large+CRF | 92.79 | 91.34 | 92.06 |
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