Research Article
A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition
Table 5
The performance of all models tested on the constructed dataset.
| Model | Precision (%) | Recall (%) | F1-score (%) | FLOPs | Time (ms) |
| BiLSTM-CRF | 96.00 | 96.10 | 96.05 | 65.45G | 3.27 | BERT | 96.32 | 95.81 | 96.06 | 528.93G | 52.73 | BERT-CRF | 96.75 | 96.12 | 96.43 | 541.21G | 53.26 | BERT-BiLSTM-CRF | 96.60 | 96.33 | 96.47 | 561.62G | 54.89 |
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