From: Biomedical named entity recognition using deep neural networks with contextual information
Strict matching | NCBI | GM | CDR | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Model | Trial # | p | r | f | p | r | f | p | r | f |
BiLSTM | - | 78.91 | 82.60 | 80.71 | 72.22 | 72.44 | 72.33 | 83.56 | 80.26 | 81.88 |
BiLSTM-CRF | - | 82.19 | 84.58 | 83.37 | 80.79 | 79.81 | 80.30 | 87.52 | 83.58 | 85.50 |
GRAM-CNN | - | 84.45 | 83.92 | 84.18 | 80.23 | 78.83 | 79.53 | 86.08 | 85.49 | 85.79 |
BERT | - | 81.07 | 80.73 | 80.90 | 81.72 | 81.59 | 81.65 | 86.21 | 85.23 | 85.72 |
CLSTM (word+char levels) | 1 | 84.73 | 86.67 | 85.68 | 81.75 | 81.14 | 81.44 | 87.25 | 85.66 | 86.44 |
 | 2 | 84.43 | 85.83 | 85.12 | 81.26 | 80.67 | 80.96 | 87.16 | 85.40 | 86.27 |
 | 3 | 86.18 | 84.48 | 85.32 | 82.07 | 80.24 | 81.14 | 87.93 | 84.56 | 86.21 |
 | 4 | 85.56 | 85.21 | 85.39 | 82.97 | 79.66 | 81.28 | 87.71 | 85.17 | 86.42 |
 | 5 | 84.62 | 85.42 | 85.02 | 81.02 | 80.70 | 80.86 | 88.27 | 84.36 | 86.27 |
CLSTM average | Â | 85.10 | 85.52 | 85.31 | 81.81 | 80.48 | 81.14 | 87.66 | 85.03 | 86.33 |