Performance of all adaptation methods on NER in the coarse setting. Recall that the fine adaptation method categories we evaluate are loss augmentation (LA), pseudo-labeling (PL), pretraining (PT), and instance weighting (IW).
| . | i2b22006 . | i2b22010 . | i2b22014 . | ||||||
|---|---|---|---|---|---|---|---|---|---|
| AM . | P . | R . | F1 . | P . | R . | F1 . | P . | R . | F1 . |
| ZS | 18.7 | 21.8 | 20.1 | 35.2 | 10.1 | 15.7 | 21.2 | 32.8 | 25.7 |
| LA | 16.1 | 21.2 | 18.3 | 36.6 | 15.4 | 21.7 | 27.5 | 28.6 | 28.0 |
| PL | 23.2 | 22.0 | 22.6 | 23.3 | 5.0 | 8.3 | 47.4 | 23.6 | 31.5 |
| PT | 19.5 | 22.1 | 20.7 | 38.1 | 12.8 | 19.1 | 27.3 | 27.4 | 27.3 |
| IW | 21.0 | 19.5 | 20.2 | 34.3 | 12.1 | 17.9 | 21.0 | 29.2 | 24.4 |
| . | i2b22006 . | i2b22010 . | i2b22014 . | ||||||
|---|---|---|---|---|---|---|---|---|---|
| AM . | P . | R . | F1 . | P . | R . | F1 . | P . | R . | F1 . |
| ZS | 18.7 | 21.8 | 20.1 | 35.2 | 10.1 | 15.7 | 21.2 | 32.8 | 25.7 |
| LA | 16.1 | 21.2 | 18.3 | 36.6 | 15.4 | 21.7 | 27.5 | 28.6 | 28.0 |
| PL | 23.2 | 22.0 | 22.6 | 23.3 | 5.0 | 8.3 | 47.4 | 23.6 | 31.5 |
| PT | 19.5 | 22.1 | 20.7 | 38.1 | 12.8 | 19.1 | 27.3 | 27.4 | 27.3 |
| IW | 21.0 | 19.5 | 20.2 | 34.3 | 12.1 | 17.9 | 21.0 | 29.2 | 24.4 |