Aspect-based Sentiment Analysis on ARTS Laptop
59.4ARSDINER
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DINERbackbone=RoBERTa2024.03 | 59.4 | 76.51 | 73.27 | |
| NADS2024.03 | 58.77 | — | — | |
| RoBERTastatus=retrained baseline, backbone=RoBERTa2024.03 | 56.27 | 74.96 | 72.16 | |
| DINERbackbone=BERT2024.03 | 53.76 | 72.56 | 68.4 | |
| BERT-PT2024.03 | 53.29 | — | — | |
| GraphMerge2024.03 | 52.9 | — | — | |
| BERT (Xing et al.)2024.03 | 50.94 | — | — | |
| BERTstatus=retrained baseline, backbone=BERT2024.03 | 49.53 | 70.43 | 66.55 | |
| ChatGPT2024.03 | 46.39 | 68.89 | 56.22 | |
| CapsBERT2024.03 | 25.86 | — | — | |
| TD-LSTM2024.03 | 22.57 | — | — | |
| GCN2024.03 | 19.91 | — | — | |
| MemNet2024.03 | 16.93 | — | — | |
| BERT-Sent2024.03 | 14.7 | — | — | |
| GatedCNN2024.03 | 10.34 | — | — | |
| AttLSTM2024.03 | 9.87 | — | — | |
| PT-SENTA2024.03 | — | 74.16 | — | |
| RoBERTa (Ma et al.)backbone=RoBERTa2024.03 | — | 73.57 | 69.26 | |
| SENTA2024.03 | — | 67.23 | — |