Text Classification On Lot Insts
Métriques
Accuracy
Macro-F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Macro-F1 | Paper Title | Repository |
|---|---|---|---|---|
| Naive Bayes | 72.2 | 50.2 | Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset | - |
| FastText | 74.93 | 44.38 | Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset | - |
| CD-V1 | 79.97 | 59.64 | Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset | - |
| sCool | 76.72 | 52.41 | Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset | - |
| Character-BERT+RS | 83.73 | 65.9 | Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset | - |
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