Research Article
Research on Domain-Specific Knowledge Graph Based on the RoBERTa-wwm-ext Pretraining Model
Table 8
Named entity model recognition results.
| Label | Precision (%) | Recall (%) | F1 | Number statistics |
| NAT (nation) | 85.87 | 93.83 | 89.68 | 8453 | PLA (plane) | 79.05 | 76.12 | 77.55 | 1532 | VES (vessel) | 66.71 | 69.49 | 68.07 | 775 | MIS (missile) | 61.60 | 50.10 | 55.26 | 388 | WAT (waters) | 58.33 | 69.72 | 63.52 | 300 | AIR (aircraft carrier) | 63.64 | 52.34 | 57.44 | 88 | BAS (military base) | 50.51 | 48.54 | 49.50 | 99 | RAD (radar) | 72.46 | 37.88 | 49.75 | 69 | ISL (island) | 60.92 | 64.63 | 62.72 | 87 | Overall | 81.11 | 85.13 | 83.07 | 11722 |
|
|