Aspect-Level Sentiment Analysis on SemEval Task 4 Laptop 2014 (test)
88AccuracyFlan-T5 + RVISAg
Evaluation Results
| Method | Links | |
|---|---|---|
| Flan-T5 + RVISAgModel Parameters=11B, Rationale=GPT-3.52024.07 | 88 | |
| Flan-T5 + RVISAvModel Parameters=11B, Rationale=Vicuna2024.07 | 87.43 | |
| RoBERTa + SKEPModel Size=large2020.05 | 81.47 | |
| Previous SOTA2020.05 | 81.35 | |
| RoBERTa + SKEPModel Size=base2020.05 | 81.32 | |
| T5 Base + ABSA-ESAModel Parameters=220M2024.07 | 80 | |
| RoBERTaModel Size=large2020.05 | 79.22 | |
| RoBERTaModel Size=base2020.05 | 78.11 | |
| BERT Asp + SCAPTModel Parameters=110M2024.07 | 77.59 | |
| Flan-T5 + THORModel Parameters=11B2024.07 | 76.57 | |
| BERT Asp + CEPTModel Parameters=110M2024.07 | 75.86 | |
| Flan-T5 + promptModel Parameters=11B2024.07 | 75.43 | |
| Flan-T5 + RVISAgModel Parameters=250M, Rationale=GPT-3.52024.07 | 75.43 | |
| Flan-T5 + THORModel Parameters=250M2024.07 | 74.29 | |
| Flan-T5 + promptModel Parameters=250M2024.07 | 73.71 | |
| Flan-T5 + RVISAvModel Parameters=250M, Rationale=Vicuna2024.07 | 73.71 | |
| BERT + RGATModel Parameters=110M2024.07 | 72.99 | |
| BERT + ADA+Model Parameters=110M2024.07 | 70.11 | |
| BERT + SPC+Model Parameters=110M2024.07 | 69.54 |