Text Classification On Mr
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| transformers-are-short-text-classifiers-a | 86.94 |
| transformers-are-short-text-classifiers-a | 86.02 |
| transformers-are-short-text-classifiers-a | 88.97 |
| transformers-are-short-text-classifiers-a | 89.53 |
| transformers-are-short-text-classifiers-a | 85.31 |
| transformers-are-short-text-classifiers-a | 89.42 |
| simple-spectral-graph-convolution | 76.7 |
| vector-of-locally-aggregated-word-embeddings | 93.3 |
| bertgcn-transductive-text-classification-by | 89.7 |
| transformers-are-short-text-classifiers-a | 90.21 |