Chinese Word Segmentation On Ctb6
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| BABERT | 97.45 | Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling | |
| BABERT-LE | 97.56 | Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling | |
| WMSeg + ZEN | 97.25 | Improving Chinese Word Segmentation with Wordhood Memory Networks | |
| LATTE (Linguistic units, lattices, PTMs, GNNs) | 98.07 | LATTE: Lattice ATTentive Encoding for Character-based Word Segmentation |
0 of 4 row(s) selected.