Table 6

Comparison of end-to-end identification effect

ModelaPerformance
Precision (%)Recall (%)F1 score (%)
Bi-Bi-S91.15 ± 0.2179.04 ± 0.4385.92 ± 0.18
Bi-I-S91.29 ± 0.2978.36 ± 0.3286.19 ± 0.34
Bi-BE-S91.69 ± 0.2479.75 ± 0.2986.18 ± 0.42
Bi-Bi-T91.81 ± 0.1680.26 ± 0.5185.65 ± 0.31
Bi-I-T92.91 ± 0.3383.07 ± 0.3887.71 ± 0.28
Bi-BE-T92.31 ± 0.2281.68 ± 0.3086.67 ± 0.32
I-Bi-S91.23 ± 0.3278.86 ± 0.3385.11 ± 0.29
I-I-S91.40 ± 0.1984.70 ± 0.4289.52 ± 0.51
I-BE-S89.64 ± 0.2875.82 ± 0.2282.16 ± 0.27
I-Bi-T92.28 ± 0.3081.49 ± 0.2187.86 ± 0.25
I-I-T91.87 ± 0.2683.09 ± 0.3787.26 ± 0.17
I-BE-T92.28 ± 0.4186.91 ± 0.3390.26 ± 0.26
BE-Bi-S91.19 ± 0.2281.22 ± 0.1186.83 ± 0.15
BE-I-S92.28 ± 0.1881.54 ± 0.5186.58 ± 0.26
BE-BE-S92.02 ± 0.3685.84 ± 0.6289.75 ± 0.41
BE-Bi-T92.41 ± 0.3179.16 ± 0.3785.27 ± 0.33
BE-I-T92.13 ± 0.2883.21 ± 0.2887.87 ± 0.19
BE-BE-T93.76 ± 0.2785.50 ± 0.1889.44 ± 0.22
V-V-Vb93.14 ± 0.1889.20 ± 0.4091.13 ± 0.21
ModelaPerformance
Precision (%)Recall (%)F1 score (%)
Bi-Bi-S91.15 ± 0.2179.04 ± 0.4385.92 ± 0.18
Bi-I-S91.29 ± 0.2978.36 ± 0.3286.19 ± 0.34
Bi-BE-S91.69 ± 0.2479.75 ± 0.2986.18 ± 0.42
Bi-Bi-T91.81 ± 0.1680.26 ± 0.5185.65 ± 0.31
Bi-I-T92.91 ± 0.3383.07 ± 0.3887.71 ± 0.28
Bi-BE-T92.31 ± 0.2281.68 ± 0.3086.67 ± 0.32
I-Bi-S91.23 ± 0.3278.86 ± 0.3385.11 ± 0.29
I-I-S91.40 ± 0.1984.70 ± 0.4289.52 ± 0.51
I-BE-S89.64 ± 0.2875.82 ± 0.2282.16 ± 0.27
I-Bi-T92.28 ± 0.3081.49 ± 0.2187.86 ± 0.25
I-I-T91.87 ± 0.2683.09 ± 0.3787.26 ± 0.17
I-BE-T92.28 ± 0.4186.91 ± 0.3390.26 ± 0.26
BE-Bi-S91.19 ± 0.2281.22 ± 0.1186.83 ± 0.15
BE-I-S92.28 ± 0.1881.54 ± 0.5186.58 ± 0.26
BE-BE-S92.02 ± 0.3685.84 ± 0.6289.75 ± 0.41
BE-Bi-T92.41 ± 0.3179.16 ± 0.3785.27 ± 0.33
BE-I-T92.13 ± 0.2883.21 ± 0.2887.87 ± 0.19
BE-BE-T93.76 ± 0.2785.50 ± 0.1889.44 ± 0.22
V-V-Vb93.14 ± 0.1889.20 ± 0.4091.13 ± 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).

Table 6

Comparison of end-to-end identification effect

ModelaPerformance
Precision (%)Recall (%)F1 score (%)
Bi-Bi-S91.15 ± 0.2179.04 ± 0.4385.92 ± 0.18
Bi-I-S91.29 ± 0.2978.36 ± 0.3286.19 ± 0.34
Bi-BE-S91.69 ± 0.2479.75 ± 0.2986.18 ± 0.42
Bi-Bi-T91.81 ± 0.1680.26 ± 0.5185.65 ± 0.31
Bi-I-T92.91 ± 0.3383.07 ± 0.3887.71 ± 0.28
Bi-BE-T92.31 ± 0.2281.68 ± 0.3086.67 ± 0.32
I-Bi-S91.23 ± 0.3278.86 ± 0.3385.11 ± 0.29
I-I-S91.40 ± 0.1984.70 ± 0.4289.52 ± 0.51
I-BE-S89.64 ± 0.2875.82 ± 0.2282.16 ± 0.27
I-Bi-T92.28 ± 0.3081.49 ± 0.2187.86 ± 0.25
I-I-T91.87 ± 0.2683.09 ± 0.3787.26 ± 0.17
I-BE-T92.28 ± 0.4186.91 ± 0.3390.26 ± 0.26
BE-Bi-S91.19 ± 0.2281.22 ± 0.1186.83 ± 0.15
BE-I-S92.28 ± 0.1881.54 ± 0.5186.58 ± 0.26
BE-BE-S92.02 ± 0.3685.84 ± 0.6289.75 ± 0.41
BE-Bi-T92.41 ± 0.3179.16 ± 0.3785.27 ± 0.33
BE-I-T92.13 ± 0.2883.21 ± 0.2887.87 ± 0.19
BE-BE-T93.76 ± 0.2785.50 ± 0.1889.44 ± 0.22
V-V-Vb93.14 ± 0.1889.20 ± 0.4091.13 ± 0.21
ModelaPerformance
Precision (%)Recall (%)F1 score (%)
Bi-Bi-S91.15 ± 0.2179.04 ± 0.4385.92 ± 0.18
Bi-I-S91.29 ± 0.2978.36 ± 0.3286.19 ± 0.34
Bi-BE-S91.69 ± 0.2479.75 ± 0.2986.18 ± 0.42
Bi-Bi-T91.81 ± 0.1680.26 ± 0.5185.65 ± 0.31
Bi-I-T92.91 ± 0.3383.07 ± 0.3887.71 ± 0.28
Bi-BE-T92.31 ± 0.2281.68 ± 0.3086.67 ± 0.32
I-Bi-S91.23 ± 0.3278.86 ± 0.3385.11 ± 0.29
I-I-S91.40 ± 0.1984.70 ± 0.4289.52 ± 0.51
I-BE-S89.64 ± 0.2875.82 ± 0.2282.16 ± 0.27
I-Bi-T92.28 ± 0.3081.49 ± 0.2187.86 ± 0.25
I-I-T91.87 ± 0.2683.09 ± 0.3787.26 ± 0.17
I-BE-T92.28 ± 0.4186.91 ± 0.3390.26 ± 0.26
BE-Bi-S91.19 ± 0.2281.22 ± 0.1186.83 ± 0.15
BE-I-S92.28 ± 0.1881.54 ± 0.5186.58 ± 0.26
BE-BE-S92.02 ± 0.3685.84 ± 0.6289.75 ± 0.41
BE-Bi-T92.41 ± 0.3179.16 ± 0.3785.27 ± 0.33
BE-I-T92.13 ± 0.2883.21 ± 0.2887.87 ± 0.19
BE-BE-T93.76 ± 0.2785.50 ± 0.1889.44 ± 0.22
V-V-Vb93.14 ± 0.1889.20 ± 0.4091.13 ± 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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