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Table 3 Test results of the two neural network models on given dataset

From: A hybrid approach for named entity recognition in Chinese electronic medical record

Entity name BiLSTM-CRF Attention-BiLSTM-CRF
Strict index (%) Strict index (%)
P R F1 P R F1
Anatomy 85.57 85.61 85.59 86.29 86.24 86.27
Surgery 85.81 85.58 85.69 86.19 84.90 85.54
Drug 94.92 78.11 85.70 89.73 85.98 87.81
Independent symptom 92.45 89.52 90.96 91.93 90.20 91.05
Symptom description 91.81 87,91 89.82 91.58 87.69 89.59
Total 87.66 85.72 86.68 87.75 86.77 87.26