POS Tagging on UD Treebank Dutch 2.15
94.7AccuracyConditional Random Fields (CRF)
Evaluation Results
| Method | Links | |
|---|---|---|
| Conditional Random Fields (CRF)Encoder layers=2, Training approach=CRF training, Decoding strategy=Viterbi2025.05 | 94.7 | |
| Bregman CRF (BCRF)Encoder layers=2, Training approach=CRF training, Decoding strategy=BCRF, Iterations=52025.05 | 94.7 | |
| Bregman CRF (BCRF)Encoder layers=2, Training approach=CRF training, Decoding strategy=BCRF, Iterations=102025.05 | 94.7 | |
| Mean Field (MF)Encoder layers=2, Training approach=MF training, Decoding strategy=MF, Iterations=52025.05 | 94.7 | |
| Mean Field (MF)Encoder layers=2, Training approach=MF training, Decoding strategy=MF, Iterations=102025.05 | 94.7 | |
| Mean Field (MF)Encoder layers=2, Training approach=MF training, Decoding strategy=Viterbi2025.05 | 94.6 | |
| Bregman CRF (BCRF)Encoder layers=2, Training approach=BCRF training, Decoding strategy=Viterbi2025.05 | 94.6 | |
| Bregman CRF (BCRF)Encoder layers=2, Training approach=BCRF training, Decoding strategy=BCRF, Iterations=52025.05 | 94.6 | |
| Bregman CRF (BCRF)Encoder layers=2, Training approach=BCRF training, Decoding strategy=BCRF, Iterations=102025.05 | 94.6 | |
| Mean Field (MF)Encoder layers=2, Training approach=CRF training, Decoding strategy=MF, Iterations=102025.05 | 94.5 | |
| Bregman CRF (BCRF)Encoder layers=0, Training approach=CRF training, Decoding strategy=BCRF, Iterations=52025.05 | 94.4 | |
| Mean Field (MF)Encoder layers=2, Training approach=CRF training, Decoding strategy=MF, Iterations=52025.05 | 94.4 | |
| Conditional Random Fields (CRF)Encoder layers=0, Training approach=CRF training, Decoding strategy=Viterbi2025.05 | 94.3 | |
| Bregman CRF (BCRF)Encoder layers=0, Training approach=CRF training, Decoding strategy=BCRF, Iterations=102025.05 | 94.3 | |
| Mean Field (MF)Encoder layers=0, Training approach=MF training, Decoding strategy=MF, Iterations=52025.05 | 94.3 | |
| Mean Field (MF)Encoder layers=0, Training approach=MF training, Decoding strategy=MF, Iterations=102025.05 | 94.3 | |
| Bregman CRF (BCRF)Encoder layers=0, Training approach=BCRF training, Decoding strategy=Viterbi2025.05 | 94.1 | |
| Bregman CRF (BCRF)Encoder layers=0, Training approach=BCRF training, Decoding strategy=BCRF, Iterations=52025.05 | 94.1 | |
| Bregman CRF (BCRF)Encoder layers=0, Training approach=BCRF training, Decoding strategy=BCRF, Iterations=102025.05 | 94.1 | |
| Mean Field (MF)Encoder layers=0, Training approach=CRF training, Decoding strategy=MF, Iterations=102025.05 | 93.9 | |
| Mean Field (MF)Encoder layers=0, Training approach=CRF training, Decoding strategy=MF, Iterations=52025.05 | 93.8 | |
| Mean Field (MF)Encoder layers=0, Training approach=MF training, Decoding strategy=Viterbi2025.05 | 93.7 | |
| Unstructured BaselineEncoder layers=2, Training approach=Baseline, Decoding strategy=Unstructured2025.05 | 93.4 | |
| Unstructured BaselineEncoder layers=0, Training approach=Baseline, Decoding strategy=Unstructured2025.05 | 90.5 |