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Table 6 Our method and other methods are tested in our dataset and the results are compared

From: Named entity recognition for Chinese judgment documents based on BiLSTM and CRF

Model Precision Recall F1
Multiple HMMs [24] 71.64 71.06 71.34
Char baseline 68.79 60.35 64.30
+bichar+softword LSTM 74.36 69.43 71.81
Lattice LSTM [5] 76.35 71.56 73.88
Segment-level neural network [25] 71.60 69.40 70.48
BiLSTM-CRF 71.14 72.21 71.67
Our method 77.08 73.69 75.35