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 | – |
+ POS feature | 88.12 | 91.70 | 89.87 | − 0.10 | 68.72 | 85.46 | 76.18 | +0.23 |
+ Chunking feature | 87.21 | 92.58 | 89.81 | − 0.16 | 67.21 | 87.45 | 76.01 | +0.06 |
+ NER feature | 87.57 | 91.81 | 89.64 | − 0.33 | 69.32 | 84.72 | 76.25 | +0.30 |
+ All features | 87.97 | 91.39 | 89.65 | − 0.32 | 70.84 | 83.76 | 76.76 | +0.81 |