Chinese Word Segmentation On As
Metrics
F1
Precision
Recall
Results
Performance results of various models on this benchmark
| Paper Title | ||||
|---|---|---|---|---|
| Glyce + BERT | 96.7 | 96.6 | 96.8 | Glyce: Glyph-vectors for Chinese Character Representations |
| WMSeg + ZEN | 96.62 | - | - | Improving Chinese Word Segmentation with Wordhood Memory Networks |
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