Modela . | Performance . | ||
---|---|---|---|
Precision (%) . | Recall (%) . | F1 score (%) . | |
Bi-Bi-S | 91.15 ± 0.21 | 79.04 ± 0.43 | 85.92 ± 0.18 |
Bi-I-S | 91.29 ± 0.29 | 78.36 ± 0.32 | 86.19 ± 0.34 |
Bi-BE-S | 91.69 ± 0.24 | 79.75 ± 0.29 | 86.18 ± 0.42 |
Bi-Bi-T | 91.81 ± 0.16 | 80.26 ± 0.51 | 85.65 ± 0.31 |
Bi-I-T | 92.91 ± 0.33 | 83.07 ± 0.38 | 87.71 ± 0.28 |
Bi-BE-T | 92.31 ± 0.22 | 81.68 ± 0.30 | 86.67 ± 0.32 |
I-Bi-S | 91.23 ± 0.32 | 78.86 ± 0.33 | 85.11 ± 0.29 |
I-I-S | 91.40 ± 0.19 | 84.70 ± 0.42 | 89.52 ± 0.51 |
I-BE-S | 89.64 ± 0.28 | 75.82 ± 0.22 | 82.16 ± 0.27 |
I-Bi-T | 92.28 ± 0.30 | 81.49 ± 0.21 | 87.86 ± 0.25 |
I-I-T | 91.87 ± 0.26 | 83.09 ± 0.37 | 87.26 ± 0.17 |
I-BE-T | 92.28 ± 0.41 | 86.91 ± 0.33 | 90.26 ± 0.26 |
BE-Bi-S | 91.19 ± 0.22 | 81.22 ± 0.11 | 86.83 ± 0.15 |
BE-I-S | 92.28 ± 0.18 | 81.54 ± 0.51 | 86.58 ± 0.26 |
BE-BE-S | 92.02 ± 0.36 | 85.84 ± 0.62 | 89.75 ± 0.41 |
BE-Bi-T | 92.41 ± 0.31 | 79.16 ± 0.37 | 85.27 ± 0.33 |
BE-I-T | 92.13 ± 0.28 | 83.21 ± 0.28 | 87.87 ± 0.19 |
BE-BE-T | 93.76 ± 0.27 | 85.50 ± 0.18 | 89.44 ± 0.22 |
V-V-Vb | 93.14 ± 0.18 | 89.20 ± 0.40 | 91.13 ± 0.21 |
Modela . | Performance . | ||
---|---|---|---|
Precision (%) . | Recall (%) . | F1 score (%) . | |
Bi-Bi-S | 91.15 ± 0.21 | 79.04 ± 0.43 | 85.92 ± 0.18 |
Bi-I-S | 91.29 ± 0.29 | 78.36 ± 0.32 | 86.19 ± 0.34 |
Bi-BE-S | 91.69 ± 0.24 | 79.75 ± 0.29 | 86.18 ± 0.42 |
Bi-Bi-T | 91.81 ± 0.16 | 80.26 ± 0.51 | 85.65 ± 0.31 |
Bi-I-T | 92.91 ± 0.33 | 83.07 ± 0.38 | 87.71 ± 0.28 |
Bi-BE-T | 92.31 ± 0.22 | 81.68 ± 0.30 | 86.67 ± 0.32 |
I-Bi-S | 91.23 ± 0.32 | 78.86 ± 0.33 | 85.11 ± 0.29 |
I-I-S | 91.40 ± 0.19 | 84.70 ± 0.42 | 89.52 ± 0.51 |
I-BE-S | 89.64 ± 0.28 | 75.82 ± 0.22 | 82.16 ± 0.27 |
I-Bi-T | 92.28 ± 0.30 | 81.49 ± 0.21 | 87.86 ± 0.25 |
I-I-T | 91.87 ± 0.26 | 83.09 ± 0.37 | 87.26 ± 0.17 |
I-BE-T | 92.28 ± 0.41 | 86.91 ± 0.33 | 90.26 ± 0.26 |
BE-Bi-S | 91.19 ± 0.22 | 81.22 ± 0.11 | 86.83 ± 0.15 |
BE-I-S | 92.28 ± 0.18 | 81.54 ± 0.51 | 86.58 ± 0.26 |
BE-BE-S | 92.02 ± 0.36 | 85.84 ± 0.62 | 89.75 ± 0.41 |
BE-Bi-T | 92.41 ± 0.31 | 79.16 ± 0.37 | 85.27 ± 0.33 |
BE-I-T | 92.13 ± 0.28 | 83.21 ± 0.28 | 87.87 ± 0.19 |
BE-BE-T | 93.76 ± 0.27 | 85.50 ± 0.18 | 89.44 ± 0.22 |
V-V-Vb | 93.14 ± 0.18 | 89.20 ± 0.40 | 91.13 ± 0.21 |
aBi, BE, I, T and S represented BiLSTM, BERT, the IDCNN, the Transformer and SEQ2SEQ, respectively.
bThe first V indicates voting for the binary classification model (that is, the recognition results that are the same between two of the three models shall prevail); the second V indicates voting for the entity recognition model (that is, the intersection of the entity recognition results of the three models is taken and deduplicated); the third V indicates voting for the entity alignment model (that is, the intersection of the alignment results of the two models is taken and deduplicated).
Modela . | Performance . | ||
---|---|---|---|
Precision (%) . | Recall (%) . | F1 score (%) . | |
Bi-Bi-S | 91.15 ± 0.21 | 79.04 ± 0.43 | 85.92 ± 0.18 |
Bi-I-S | 91.29 ± 0.29 | 78.36 ± 0.32 | 86.19 ± 0.34 |
Bi-BE-S | 91.69 ± 0.24 | 79.75 ± 0.29 | 86.18 ± 0.42 |
Bi-Bi-T | 91.81 ± 0.16 | 80.26 ± 0.51 | 85.65 ± 0.31 |
Bi-I-T | 92.91 ± 0.33 | 83.07 ± 0.38 | 87.71 ± 0.28 |
Bi-BE-T | 92.31 ± 0.22 | 81.68 ± 0.30 | 86.67 ± 0.32 |
I-Bi-S | 91.23 ± 0.32 | 78.86 ± 0.33 | 85.11 ± 0.29 |
I-I-S | 91.40 ± 0.19 | 84.70 ± 0.42 | 89.52 ± 0.51 |
I-BE-S | 89.64 ± 0.28 | 75.82 ± 0.22 | 82.16 ± 0.27 |
I-Bi-T | 92.28 ± 0.30 | 81.49 ± 0.21 | 87.86 ± 0.25 |
I-I-T | 91.87 ± 0.26 | 83.09 ± 0.37 | 87.26 ± 0.17 |
I-BE-T | 92.28 ± 0.41 | 86.91 ± 0.33 | 90.26 ± 0.26 |
BE-Bi-S | 91.19 ± 0.22 | 81.22 ± 0.11 | 86.83 ± 0.15 |
BE-I-S | 92.28 ± 0.18 | 81.54 ± 0.51 | 86.58 ± 0.26 |
BE-BE-S | 92.02 ± 0.36 | 85.84 ± 0.62 | 89.75 ± 0.41 |
BE-Bi-T | 92.41 ± 0.31 | 79.16 ± 0.37 | 85.27 ± 0.33 |
BE-I-T | 92.13 ± 0.28 | 83.21 ± 0.28 | 87.87 ± 0.19 |
BE-BE-T | 93.76 ± 0.27 | 85.50 ± 0.18 | 89.44 ± 0.22 |
V-V-Vb | 93.14 ± 0.18 | 89.20 ± 0.40 | 91.13 ± 0.21 |
Modela . | Performance . | ||
---|---|---|---|
Precision (%) . | Recall (%) . | F1 score (%) . | |
Bi-Bi-S | 91.15 ± 0.21 | 79.04 ± 0.43 | 85.92 ± 0.18 |
Bi-I-S | 91.29 ± 0.29 | 78.36 ± 0.32 | 86.19 ± 0.34 |
Bi-BE-S | 91.69 ± 0.24 | 79.75 ± 0.29 | 86.18 ± 0.42 |
Bi-Bi-T | 91.81 ± 0.16 | 80.26 ± 0.51 | 85.65 ± 0.31 |
Bi-I-T | 92.91 ± 0.33 | 83.07 ± 0.38 | 87.71 ± 0.28 |
Bi-BE-T | 92.31 ± 0.22 | 81.68 ± 0.30 | 86.67 ± 0.32 |
I-Bi-S | 91.23 ± 0.32 | 78.86 ± 0.33 | 85.11 ± 0.29 |
I-I-S | 91.40 ± 0.19 | 84.70 ± 0.42 | 89.52 ± 0.51 |
I-BE-S | 89.64 ± 0.28 | 75.82 ± 0.22 | 82.16 ± 0.27 |
I-Bi-T | 92.28 ± 0.30 | 81.49 ± 0.21 | 87.86 ± 0.25 |
I-I-T | 91.87 ± 0.26 | 83.09 ± 0.37 | 87.26 ± 0.17 |
I-BE-T | 92.28 ± 0.41 | 86.91 ± 0.33 | 90.26 ± 0.26 |
BE-Bi-S | 91.19 ± 0.22 | 81.22 ± 0.11 | 86.83 ± 0.15 |
BE-I-S | 92.28 ± 0.18 | 81.54 ± 0.51 | 86.58 ± 0.26 |
BE-BE-S | 92.02 ± 0.36 | 85.84 ± 0.62 | 89.75 ± 0.41 |
BE-Bi-T | 92.41 ± 0.31 | 79.16 ± 0.37 | 85.27 ± 0.33 |
BE-I-T | 92.13 ± 0.28 | 83.21 ± 0.28 | 87.87 ± 0.19 |
BE-BE-T | 93.76 ± 0.27 | 85.50 ± 0.18 | 89.44 ± 0.22 |
V-V-Vb | 93.14 ± 0.18 | 89.20 ± 0.40 | 91.13 ± 0.21 |
aBi, BE, I, T and S represented BiLSTM, BERT, the IDCNN, the Transformer and SEQ2SEQ, respectively.
bThe first V indicates voting for the binary classification model (that is, the recognition results that are the same between two of the three models shall prevail); the second V indicates voting for the entity recognition model (that is, the intersection of the entity recognition results of the three models is taken and deduplicated); the third V indicates voting for the entity alignment model (that is, the intersection of the alignment results of the two models is taken and deduplicated).
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