Table 4

Comparison of NER models

ModelPerformance
Precision (%)Recall (%)F1 score (%)
BiLSTM-CRF92.10 ± 0.2588.55 ± 0.3390.92 ± 0.34
IDCNN-CRF92.65 ± 0.1491.89 ± 0.2992.27 ± 0.19
BERT-CRF93.73 ± 0.2195.51 ± 0.2394.61 ± 0.27
ModelPerformance
Precision (%)Recall (%)F1 score (%)
BiLSTM-CRF92.10 ± 0.2588.55 ± 0.3390.92 ± 0.34
IDCNN-CRF92.65 ± 0.1491.89 ± 0.2992.27 ± 0.19
BERT-CRF93.73 ± 0.2195.51 ± 0.2394.61 ± 0.27
Table 4

Comparison of NER models

ModelPerformance
Precision (%)Recall (%)F1 score (%)
BiLSTM-CRF92.10 ± 0.2588.55 ± 0.3390.92 ± 0.34
IDCNN-CRF92.65 ± 0.1491.89 ± 0.2992.27 ± 0.19
BERT-CRF93.73 ± 0.2195.51 ± 0.2394.61 ± 0.27
ModelPerformance
Precision (%)Recall (%)F1 score (%)
BiLSTM-CRF92.10 ± 0.2588.55 ± 0.3390.92 ± 0.34
IDCNN-CRF92.65 ± 0.1491.89 ± 0.2992.27 ± 0.19
BERT-CRF93.73 ± 0.2195.51 ± 0.2394.61 ± 0.27
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