From: A neural network approach to chemical and gene/protein entity recognition in patents
Model | CEMP Dev | GPRO Dev | ||||||
---|---|---|---|---|---|---|---|---|
Precision | Recall | F-score | â–³ | Precision | Recall | F-score | â–³ | |
Baseline | 87.58 | 92.50 | 89.97 | – | 67.97 | 86.06 | 75.95 | – |
− Character embedding | 86.27 | 90.98 | 88.56 | − 1.41 | 66.67 | 83.69 | 74.22 | − 1.73 |
− Capitalization feature | 87.99 | 91.42 | 89.67 | − 0.30 | 68.07 | 84.94 | 75.58 | − 0.37 |
− CRF layer | 84.84 | 88.55 | 86.66 | − 3.31 | 62.81 | 79.41 | 70.14 | − 5.81 |
− Post-processing | 87.30 | 92.28 | 89.72 | − 0.25 | 68.04 | 85.61 | 75.82 | − 0.13 |