Thai Word Tokenization On Best 2010
評価指標
F1-Score
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | F1-Score |
|---|---|
| attacut-a-fast-and-accurate-neural-thai-word | 0.9839 |
| character-based-thai-word-segmentation-with | 0.9899 |
| domain-adaptation-of-thai-word-segmentation | 0.9812 |
| thailmcut-unsupervised-pretraining-for-thai | 0.9878 |
| latte-lattice-attentive-encoding-for | 0.9907 |