From: Composition-driven symptom phrase recognition for Chinese medical consultation corpora
\(\varepsilon\) | Method | Macro/% | Micro/% | ||||
---|---|---|---|---|---|---|---|
Precision | Recall | \(F_1\) | Precision | Recall | \(F_1\) | ||
0.6 | ComD | 41.02 | 37.92 | 39.41 | 39.01 | 21.84 | 28.00 |
ComD-Character | 36.23 | 33.37 | 34.74 | 34.13 | 13.62 | 19.47 | |
BERT-CRF | 47.17 | 16.57 | 24.52 | 47.16 | 15.32 | 23.13 | |
BiLSTM-CRF | 36.50 | 29.58 | 32.68 | 34.01 | 8.43 | 13.51 | |
BDMM-based | 8.23 | 12.15 | 9.81 | 5.92 | 8.58 | 7.00 | |
Dictionary-based | 13.52 | 7.72 | 9.83 | 13.76 | 7.72 | 9.89 | |
0.7 | ComD | 33.53 | 30.08 | 31.71 | 31.11 | 17.42 | 22.33 |
ComD-Character | 28.36 | 25.76 | 27.00 | 26.30 | 10.49 | 15.00 | |
BERT-CRF | 37.56 | 13.05 | 19.38 | 37.44 | 12.03 | 18.21 | |
BiLSTM-CRF | 32.00 | 25.80 | 28.57 | 26.18 | 7.51 | 11.67 | |
BDMM-based | 7.14 | 10.46 | 8.49 | 5.10 | 7.37 | 6.02 | |
Dictionary-based | 9.51 | 5.69 | 7.12 | 9.48 | 5.38 | 6.86 | |
0.8 | ComD | 27.45 | 24.26 | 25.75 | 25.23 | 14.12 | 18.11 |
ComD-Character | 21.81 | 19.44 | 20.55 | 19.78 | 7.89 | 11.28 | |
BERT-CRF | 27.52 | 9.48 | 14.10 | 27.45 | 8.82 | 13.35 | |
BiLSTM-CRF | 19.25 | 14.94 | 16.82 | 14.99 | 3.61 | 5.82 | |
BDMM-based | 6.17 | 8.77 | 7.25 | 4.22 | 6.15 | 5.00 | |
Dictionary-based | 8.65 | 5.14 | 6.44 | 8.72 | 4.94 | 6.31 | |
1.0 | ComD | 25.05 | 22.62 | 23.77 | 23.37 | 13.08 | 16.78 |
ComD-Character | 19.42 | 17.26 | 18.28 | 17.61 | 7.03 | 10.04 | |
BERT-CRF | 26.56 | 9.11 | 13.57 | 26.55 | 8.53 | 12.91 | |
BiLSTM-CRF | 15.00 | 12.52 | 13.65 | 12.59 | 3.03 | 4.89 | |
BDMM-based | 5.94 | 8.54 | 7.01 | 4.10 | 5.98 | 4.86 | |
Dictionary-based | 8.65 | 5.13 | 6.44 | 8.72 | 4.94 | 6.31 |