Metric: F1 (higher is better)
| # | Model↕ | F1▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | gpt-3.5 finetuned | 83.76 | No | Large language models for aspect-based sentiment... | 2023-10-27 | Code |
| 2 | InstructABSA | 79.34 | No | InstructABSA: Instruction Learning for Aspect Ba... | 2023-02-16 | Code |
| 3 | FS-ABSA | 71.16 | Yes | - | - | Code |
| 4 | GRACE | 70.71 | No | GRACE: Gradient Harmonized and Cascaded Labeling... | 2020-09-22 | Code |
| 5 | SPAN | 68.06 | No | Open-Domain Targeted Sentiment Analysis via Span... | 2019-06-10 | Code |
| 6 | RACL-BERT | 63.4 | No | - | - | Code |
| 7 | BERT-E2E-ABSA | 61.12 | No | Exploiting BERT for End-to-End Aspect-based Sent... | 2019-10-02 | Code |
| 8 | DOER | 60.35 | No | DOER: Dual Cross-Shared RNN for Aspect Term-Pola... | 2019-06-05 | Code |
| 9 | IMN | 58.37 | No | An Interactive Multi-Task Learning Network for E... | 2019-06-17 | Code |
| 10 | E2E-TBSA | 57.9 | No | A Unified Model for Opinion Target Extraction an... | 2018-11-13 | Code |