Chinese Word Segmentation On As
评估指标
F1
Precision
Recall
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||||
|---|---|---|---|---|---|
| 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 | - |
0 of 2 row(s) selected.