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Table 6 Comparison of F1-score for each model on every fine-grained relation category

From: Attention-based deep residual learning network for entity relation extraction in Chinese EMRs

Category SVM CNN-Max LSTM-Max BLSTM-Attention ResNet-BLSTM ResNet-Max ResNet-PAtt
TrID 20.06 29.68 36.78 40.38 42.67 35.42 44.62
TrWD 19.35 28.34 25.35 35.21 33.21 30.43 40.73
TrCD 28.52 28.02 39.41 46.32 48.57 42.6 46.50
TrAD 63.21 43.52 58.31 71.65 68.33 64.54 70.39
TrNAD 12.36 22.46 18.24 36.69 37.26 35.42 46.03
TrIS 57.24 48.52 49.31 54.37 52.44 52.31 56.53
TrWS 36.41 49.51 37.53 46.21 48.18 42.43 49.23
TrCS 39.04 39.53 41.52 39.46 40.93 39.5 40.39
TrAS 60.26 58.33 62.34 66.83 72.36 61.36 69.67
TrNAS 13.54 14.39 14.56 28.67 30.31 24.67 36.13
TeRD 62.35 60.27 62.24 71.36 74.22 69.96 73.64
TeCD 12.34 16.52 18.36 37.23 32.88 31.48 40.42
TeRS 82.53 71.26 75.34 80.44 81.63 78.45 83.61
TeBS 48.42 46.34 47.21 58.64 57.94 51.20 57.50
DCS 64.28 65.31 65.67 74.24 73.55 70.69 75.68