Aspect Extraction and Sentiment Classification (AESC) on 15res (test)
74.2F1 ScoreSentiPrompt
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SentiPrompt2023.10 | 74.2 | — | — | |
| AESC-ContraBackbone=T5, Contrastive Pre-training=true2023.10 | 74.1 | — | — | |
| AESC-BaseBackbone=T5, Contrastive Pre-training=false2023.10 | 72.9 | — | — | |
| EHG2023.10 | 70 | — | — | |
| Unified-BART-ABSA2023.10 | 69.9 | — | — | |
| GAS-R2023.10 | 68.8 | — | — | |
| Peng-two-stageTagging Schema=unified tagging2021.01 | 65.79 | 67.65 | 64.02 | |
| Dual-MRCBackbone=BERT-Base-Uncased2021.01 | 65.14 | 66.84 | 63.52 | |
| Li-unified-RTagging Schema=unified tagging2021.01 | 64.95 | 64.95 | 64.95 | |
| ChatGPT2023.10 | 55.6 | — | — | |
| CMLA2021.01 | 53.6 | 49.9 | 58 | |
| RINANTE2021.01 | 41.3 | 46.2 | 37.4 |