Aspect Sentiment Classification on Restaurant SemEval 2015 (test)
94.31AccuracyIT-RER-ABSA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| IT-RER-ABSAk=42024.05 | 94.31 | — | — | |
| LSAE-X-DeBERTaBackbone=X-DeBERTa2021.10 | 91.85 | 81.29 | — | |
| LSAT-X-DeBERTaBackbone=X-DeBERTa2021.10 | 91.09 | 81.22 | — | |
| LSAS-X-DeBERTaBackbone=X-DeBERTa2021.10 | 90.63 | 80.24 | — | |
| COLACategory=Zero-shot Methods2023.10 | 90.5 | — | 64.3 | |
| LSAP-X-DeBERTaBackbone=X-DeBERTa2021.10 | 89.98 | 78.26 | — | |
| LSAT-DeBERTaBackbone=DeBERTa2021.10 | 89.61 | 79.17 | — | |
| LSAE-DeBERTaBackbone=DeBERTa2021.10 | 89.47 | 77.84 | — | |
| LSAS-DeBERTaBackbone=DeBERTa2021.10 | 89.42 | 77.29 | — | |
| LSAP-DeBERTaBackbone=DeBERTa2021.10 | 89.05 | 77.14 | — | |
| LSAE-RoBERTaBackbone=RoBERTa2021.10 | 88.39 | 76.19 | — | |
| LSAS-RoBERTaBackbone=RoBERTa2021.10 | 88.31 | 76.23 | — | |
| SARL-RoBERTaBackbone=RoBERTa2021.10 | 88.19 | 73.83 | — | |
| DeBERTaBackbone=DeBERTa2021.10 | 87.5 | 73.76 | — | |
| LSAP-RoBERTaBackbone=RoBERTa2021.10 | 87.01 | 73.71 | — | |
| LSAT-RoBERTaBackbone=RoBERTa2021.10 | 86.64 | 72.24 | — | |
| SARL-DeBERTaBackbone=DeBERTa2021.10 | 86.53 | 69.73 | — | |
| LSAE-BERTBackbone=BERT2021.10 | 85.56 | 73.79 | — | |
| dotGCNCategory=Labeled Data Dependent Methods2023.10 | 85.2 | — | 72.7 | |
| LSAT-BERTBackbone=BERT2021.10 | 84.93 | 73.01 | — | |
| InstructABSA22024.05 | 84.5 | — | — | |
| LSAS-BERTBackbone=BERT2021.10 | 84.22 | 71.98 | — | |
| LSAP-BERTBackbone=BERT2021.10 | 84.07 | 70.62 | — | |
| DGEDT-BERTBackbone=BERT2021.10 | 84 | 71 | — | |
| DGEDTCategory=Labeled Data Dependent Methods2023.10 | 84 | — | 71 | |
| GPT-3.5 TurboCategory=Zero-shot Methods2023.10 | 84 | — | 62.4 | |
| TGCN-BERTBackbone=BERT2021.10 | 83.38 | 82.77 | — | |
| SK-GCN-BERTBackbone=BERT2021.10 | 83.2 | 66.78 | — | |
| InstructABSA12024.05 | 83.02 | — | — | |
| RoBERTaBackbone=RoBERTa2021.10 | 78.06 | 62.41 | — | |
| RACL-BERT2024.05 | 74.91 | — | — | |
| Dual-MRC2024.05 | 73.59 | — | — | |
| BARTABSAModel=BARTABSA2024.05 | — | 73.91 | — | |
| Dual-MRCModel=Dual-MRC2024.05 | — | 73.59 | — | |
| InstructABSA2Model=InstructABSA2, Status=Reproduced2024.05 | — | 85.06 | — | |
| PFInstruct-NERModel=PFInstruct-NER, Prefix=Named Entity Recognition2024.05 | — | 85.61 | — | |
| PFInstruct-NoiseModel=PFInstruct-Noise, Prefix=Noise2024.05 | — | 84.32 | — | |
| PFInstruct-REModel=PFInstruct-RE, Prefix=Relation Extraction2024.05 | — | 86.16 | — |