Aspect Sentiment Classification on Restaurant SemEval 2016 (test)
93.01F1 ScoreInstructABSA2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| InstructABSA2Model=InstructABSA2, Status=Reproduced2024.05 | 93.01 | — | |
| PFInstruct-REModel=PFInstruct-RE, Prefix=Relation Extraction2024.05 | 92.51 | — | |
| PFInstruct-NoiseModel=PFInstruct-Noise, Prefix=Noise2024.05 | 91.54 | — | |
| PFInstruct-NERModel=PFInstruct-NER, Prefix=Named Entity Recognition2024.05 | 86.6 | — | |
| LSAE-X-DeBERTaBackbone=X-DeBERTa2021.10 | 84.87 | 95.61 | |
| LSAP-X-DeBERTaBackbone=X-DeBERTa2021.10 | 84.68 | 95.11 | |
| LSAT-X-DeBERTaBackbone=X-DeBERTa2021.10 | 84.34 | 94.71 | |
| LSAS-X-DeBERTaBackbone=X-DeBERTa2021.10 | 83.5 | 94.54 | |
| LSAT-RoBERTaBackbone=RoBERTa2021.10 | 83.41 | 94.22 | |
| LSAE-DeBERTaBackbone=DeBERTa2021.10 | 82.39 | 94.47 | |
| LSAE-RoBERTaBackbone=RoBERTa2021.10 | 82.18 | 94.15 | |
| SARL-RoBERTaBackbone=RoBERTa2021.10 | 81.92 | 94.62 | |
| LSAS-RoBERTaBackbone=RoBERTa2021.10 | 81.82 | 93.65 | |
| LSAS-DeBERTaBackbone=DeBERTa2021.10 | 81.61 | 94.14 | |
| LSAT-DeBERTaBackbone=DeBERTa2021.10 | 81.53 | 93.65 | |
| LSAP-DeBERTaBackbone=DeBERTa2021.10 | 81.44 | 93.49 | |
| RoBERTaBackbone=RoBERTa2021.10 | 80.88 | 93.01 | |
| SARL-DeBERTaBackbone=DeBERTa2021.10 | 80.13 | 93.31 | |
| DGEDT-BERTBackbone=BERT2021.10 | 79 | 91.9 | |
| LSAE-BERTBackbone=BERT2021.10 | 78.49 | 92.2 | |
| LSAP-BERTBackbone=BERT2021.10 | 78.25 | 91.74 | |
| LSAS-BERTBackbone=BERT2021.10 | 77.54 | 91.58 | |
| LSAT-BERTBackbone=BERT2021.10 | 77.5 | 91.42 | |
| LSAP-RoBERTaBackbone=RoBERTa2021.10 | 76.17 | 90.31 | |
| DeBERTaBackbone=DeBERTa2021.10 | 73.59 | 86.57 | |
| TGCN-BERTBackbone=BERT2021.10 | 72.81 | 86 | |
| SK-GCN-BERTBackbone=BERT2021.10 | 72.02 | 87.19 |