Aspect-Based Sentiment Analysis on Restaurant 14
90.97AccuracyGHI
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GHIEncoder=DeBERTa2026.05 | 90.97 | 86.4 | |
| AGCLEncoder=DeBERTa-Large2026.05 | 90.3 | 85.63 | |
| RCLEncoder=DeBERTa2026.05 | 89.38 | 84.68 | |
| DAGFEncoder=RoBERTa2026.05 | 89.37 | 84.37 | |
| PConvEncoder=RoBERTa2026.05 | 89.29 | 84.27 | |
| SARLEncoder=RoBERTa2026.05 | 88.21 | 82.44 | |
| DAGCNEncoder=BERT2026.05 | 88.03 | 82.64 | |
| APARNEncoder=BERT2026.05 | 87.76 | 82.44 | |
| PWCNEncoder=RoBERTa2026.05 | 87.35 | 80.85 | |
| SSEGCNEncoder=BERT2026.05 | 87.31 | 81.09 | |
| S2GSLEncoder=BERT2026.05 | 87.31 | 82.84 | |
| TextGTEncoder=BERT2026.05 | 87.31 | 82.27 | |
| MLFMEncoder=BERT2026.05 | 87.31 | 82.5 | |
| DualGCNEncoder=BERT2026.05 | 87.13 | 81.16 | |
| R-GATEncoder=BERT2026.05 | 86.6 | 81.35 | |
| KumaGCNEncoder=BERT2026.05 | 86.43 | 80.3 | |
| MWGCNEncoder=BERT2026.05 | 86.36 | 80.54 | |
| DGEDTEncoder=BERT2026.05 | 86.3 | 80 | |
| TGCNEncoder=BERT2026.05 | 86.16 | 79.95 | |
| dotGCNEncoder=BERT2026.05 | 86.16 | 80.49 | |
| SK-GCNEncoder=BERT2026.05 | 83.48 | 75.19 |