Supertagging on French TLGbank (test)
0.9593Overall Accuracy
BERT Token Classification
Updated 4d ago
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
2022.03 | 0.9593 | 0.9644 | 0.8139 | 0.4745 | - | |
| 0.9592 | 0.964 | 0.8148 | 0.5537 | 0.0726 | ||
2022.03 | 0.932 | 0.951 | 0.7519 | 0.2585 | - |
BERT Token Classification
| Method | Links | |||||
|---|---|---|---|---|---|---|
2022.03 | 0.9593 | 0.9644 | 0.8139 | 0.4745 | - | |
| 0.9592 | 0.964 | 0.8148 | 0.5537 | 0.0726 | ||
2022.03 | 0.932 | 0.951 | 0.7519 | 0.2585 | - |