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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
| Paper Title | ||
|---|---|---|
| LATTE (Linguistic units, lattices, PTMs, GNNs) | 0.9907 | LATTE: Lattice ATTentive Encoding for Character-based Word Segmentation |
| Multiple Attentions (char-word-cc) | 0.9899 | Character-based Thai Word Segmentation with Multiple Attentions |
| ThaiLMCut | 0.9878 | ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation |
| AttaCut-SC | 0.9839 | AttaCut: A Fast and Accurate Neural Thai Word Segmenter |
| Stacked Ensemble (CRF) | 0.9812 | Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble |
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