Chinese Word Segmentation On Cityu
评估指标
F1
评测结果
各个模型在此基准测试上的表现结果
模型名称 | F1 | Paper Title | Repository |
|---|---|---|---|
| WMSeg + ZEN | 97.93 | Improving Chinese Word Segmentation with Wordhood Memory Networks | |
| Glyce + BERT | 97.9 | Glyce: Glyph-vectors for Chinese Character Representations |
0 of 2 row(s) selected.