Chinese Word Segmentation On Pku
Metrics
F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1 |
|---|---|
| unsupervised-boundary-aware-language-model | 96.84 |
| improving-chinese-word-segmentation-with | 96.53 |
| glyce-glyph-vectors-for-chinese-character | 96.7 |
| unsupervised-boundary-aware-language-model | 96.70 |