Table 6 Identification results of MCSR-NER-model.
Testing set | Processed batches: 14,084, pre-labeled phrases: 656 ; identify: 669; Correct: 520 | |||
---|---|---|---|---|
Entities types | Precision | Recall | F1 value | Number of identified entities |
Total | 77.73% | 79.27% | 78.49% | 669 |
EF | 53.85% | 61.76% | 57.53% | 39 |
HF | 77.78% | 83.33% | 80.46% | 45 |
RE | 84.58% | 85.94% | 85.26% | 441 |
MD | 68.18% | 65.22% | 66.67% | 22 |
TM | 62.30% | 61.79% | 62.04% | 122 |