Aspect Sentiment Classification on MAMS (test)
86.38AccuracyLSAE-X-DeBERTa
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LSAE-X-DeBERTaBackbone=X-DeBERTa2021.10 | 86.38 | 85.97 | |
| LSAE-DeBERTaBackbone=DeBERTa2021.10 | 85.85 | 85.29 | |
| LSAE-RoBERTaBackbone=RoBERTa2021.10 | 85.48 | 85.02 | |
| LSAS-X-DeBERTaBackbone=X-DeBERTa2021.10 | 84.68 | 84.12 | |
| LSAT-DeBERTaBackbone=DeBERTa2021.10 | 84.28 | 83.7 | |
| LSAT-X-DeBERTaBackbone=X-DeBERTa2021.10 | 84.21 | 83.72 | |
| LSAP-DeBERTaBackbone=DeBERTa2021.10 | 83.91 | 83.31 | |
| RoBERTaBackbone=RoBERTa2021.10 | 83.83 | 83.29 | |
| LSAS-DeBERTaBackbone=DeBERTa2021.10 | 83.61 | 83.07 | |
| LSAS-RoBERTaBackbone=RoBERTa2021.10 | 83.58 | 83.78 | |
| LSAT-BERTBackbone=BERT2021.10 | 83.51 | 82.9 | |
| LSAP-RoBERTaBackbone=RoBERTa2021.10 | 83.37 | 83.78 | |
| LSAT-RoBERTaBackbone=RoBERTa2021.10 | 83.31 | 84.6 | |
| LSAS-BERTBackbone=BERT2021.10 | 83.23 | 82.68 | |
| LSAE-BERTBackbone=BERT2021.10 | 83.23 | 82.68 | |
| LSAP-BERTBackbone=BERT2021.10 | 83.13 | 82.53 | |
| DeBERTaBackbone=DeBERTa2021.10 | 83.06 | 82.52 | |
| LSAP-X-DeBERTaBackbone=X-DeBERTa2021.10 | 82.78 | 81.99 | |
| SARL-DeBERTaBackbone=DeBERTa2021.10 | 82.03 | 81.84 |