Aspect-Based Sentiment Analysis on Restaurant Implicit Sentiment Analysis (test)
82.02AccuracyFlan-T5 + RVISAg
Evaluation Results
| Method | Links | |
|---|---|---|
| Flan-T5 + RVISAgModel Parameters=11B, Rationale=GPT-3.52024.07 | 82.02 | |
| Flan-T5 + RVISAvModel Parameters=11B, Rationale=Vicuna2024.07 | 81.65 | |
| Flan-T5 + promptModel Parameters=11B2024.07 | 75.28 | |
| Flan-T5 + THORModel Parameters=11B2024.07 | 73.03 | |
| BERT Asp + SCAPTModel Parameters=110M2024.07 | 72.28 | |
| T5 Base + ABSA-ESAModel Parameters=220M2024.07 | 70.78 | |
| Flan-T5 + THORModel Parameters=250M2024.07 | 68.54 | |
| BERT + RGATModel Parameters=110M2024.07 | 67.79 | |
| BERT Asp + CEPTModel Parameters=110M2024.07 | 67.79 | |
| Flan-T5 + RVISAgModel Parameters=250M, Rationale=GPT-3.52024.07 | 66.67 | |
| BERT + ADA+Model Parameters=110M2024.07 | 65.92 | |
| Flan-T5 + RVISAvModel Parameters=250M, Rationale=Vicuna2024.07 | 65.92 | |
| BERT + SPC+Model Parameters=110M2024.07 | 65.54 | |
| Flan-T5 + promptModel Parameters=250M2024.07 | 65.17 |