Joint Word Segmentation and POS Tagging on Japanese (test)
90.8F1 ScoreViterbi
Evaluation Results
| Method | Links | |
|---|---|---|
| ViterbiEncoder layers=2 layers, Training approach=CRF training2025.05 | 90.8 | |
| ViterbiEncoder layers=4 layers, Training approach=CRF training2025.05 | 90.7 | |
| ViterbiEncoder layers=4 layers, Training approach=BCRF training2025.05 | 90.7 | |
| ViterbiEncoder layers=No self-attentive encoder, Training approach=CRF training2025.05 | 90.6 | |
| BCRFEncoder layers=4 layers, Training approach=BCRF training, Iterations=102025.05 | 90.6 | |
| ViterbiEncoder layers=2 layers, Training approach=BCRF training2025.05 | 90.5 | |
| BCRFEncoder layers=2 layers, Training approach=CRF training, Iterations=102025.05 | 90.4 | |
| BCRFEncoder layers=2 layers, Training approach=BCRF training, Iterations=102025.05 | 90.4 | |
| BCRFEncoder layers=4 layers, Training approach=CRF training, Iterations=102025.05 | 90.2 | |
| BCRFEncoder layers=No self-attentive encoder, Training approach=CRF training, Iterations=102025.05 | 90.1 | |
| BCRFEncoder layers=4 layers, Training approach=BCRF training, Iterations=52025.05 | 90.1 | |
| ViterbiEncoder layers=No self-attentive encoder, Training approach=BCRF training2025.05 | 89.8 | |
| BCRFEncoder layers=2 layers, Training approach=BCRF training, Iterations=52025.05 | 89.8 | |
| BCRFEncoder layers=No self-attentive encoder, Training approach=BCRF training, Iterations=102025.05 | 89.6 | |
| MFEncoder layers=4 layers, Training approach=MF training, Iterations=102025.05 | 89.3 | |
| MFEncoder layers=No self-attentive encoder, Training approach=MF training, Iterations=102025.05 | 89.1 | |
| MFEncoder layers=2 layers, Training approach=MF training, Iterations=102025.05 | 89.1 | |
| UnstructuredEncoder layers=4 layers2025.05 | 89 | |
| MFEncoder layers=4 layers, Training approach=MF training, Iterations=52025.05 | 89 | |
| MFEncoder layers=2 layers, Training approach=MF training, Iterations=52025.05 | 88.8 | |
| BCRFEncoder layers=No self-attentive encoder, Training approach=BCRF training, Iterations=52025.05 | 88.8 | |
| BCRFEncoder layers=No self-attentive encoder, Training approach=CRF training, Iterations=52025.05 | 88.7 | |
| BCRFEncoder layers=2 layers, Training approach=CRF training, Iterations=52025.05 | 88.7 | |
| MFEncoder layers=No self-attentive encoder, Training approach=MF training, Iterations=52025.05 | 88.7 | |
| BCRFEncoder layers=4 layers, Training approach=CRF training, Iterations=52025.05 | 88.5 | |
| UnstructuredEncoder layers=2 layers2025.05 | 86.3 | |
| ViterbiEncoder layers=4 layers, Training approach=MF training2025.05 | 83.5 | |
| ViterbiEncoder layers=2 layers, Training approach=MF training2025.05 | 82.3 | |
| ViterbiEncoder layers=No self-attentive encoder, Training approach=MF training2025.05 | 79.6 | |
| MFEncoder layers=No self-attentive encoder, Training approach=CRF training, Iterations=102025.05 | 77.6 | |
| MFEncoder layers=No self-attentive encoder, Training approach=CRF training, Iterations=52025.05 | 76.5 | |
| MFEncoder layers=2 layers, Training approach=CRF training, Iterations=102025.05 | 76.1 | |
| MFEncoder layers=4 layers, Training approach=CRF training, Iterations=102025.05 | 76 | |
| MFEncoder layers=2 layers, Training approach=CRF training, Iterations=52025.05 | 75.4 | |
| MFEncoder layers=4 layers, Training approach=CRF training, Iterations=52025.05 | 75.1 | |
| UnstructuredEncoder layers=No self-attentive encoder2025.05 | 52.9 |