Aspect Sentiment Classification on Laptop (test)
86.35AccuracyPF-CNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PF-CNN2019.09 | 86.35 | — | — | |
| PG-CNN2019.09 | 86.14 | — | — | |
| CNN2019.09 | 85.5 | — | — | |
| AF-LSTM2019.09 | 83.58 | — | — | |
| BAT2020.01 | 79.35 | 76.5 | — | |
| TD-LSTM2019.09 | 79.31 | — | — | |
| BERT-PTselection=best2020.01 | 78.89 | 75.89 | — | |
| AT-LSTM2019.09 | 78.25 | — | — | |
| BERT-PT2019.04 | 78.07 | 75.08 | — | |
| BERT-PT2020.01 | 78.07 | 75.08 | — | |
| K-Means2024.06 | 77.85 | — | — | |
| K-Means + Feedback-ICLSelection Strategy=K-Means2024.06 | 77.69 | — | — | |
| TNet-ATT(+AS)Attention Supervision (both)=true, Attention instead of CNN=true2019.06 | 77.62 | 73.84 | — | |
| TNet-ATT(+ASa)Attention Supervision (correct)=true, Attention instead of CNN=true2019.06 | 77.34 | 73.3 | — | |
| Random2024.06 | 77.27 | — | — | |
| Random + Feedback-ICLSelection Strategy=Random2024.06 | 77.27 | — | — | |
| BERT-MRC2019.04 | 77.19 | 74.1 | — | |
| BERT-DK2019.04 | 77.01 | 73.72 | — | |
| TNet-ATT(+ASm)Attention Supervision (incorrect)=true, Attention instead of CNN=true2019.06 | 76.89 | 72.39 | — | |
| TNet (original)source=Li et al., 20182019.06 | 76.54 | 71.75 | — | |
| TNet(+KT)Keep Training=true2019.06 | 76.44 | 71.74 | — | |
| MGAN2019.04 | 76.21 | 71.42 | — | |
| MGAN2020.01 | 76.21 | 71.42 | — | |
| TNetsource=re-implementation2019.06 | 76.12 | 71.82 | — | |
| BM25 + Feedback-ICLSelection Strategy=BM252024.06 | 76.11 | — | — | |
| TNet-ATTAttention instead of CNN=true2019.06 | 76.06 | 71.21 | — | |
| TNet-ATT(+KT)Keep Training=true, Attention instead of CNN=true2019.06 | 76.06 | 71.44 | — | |
| BERT2019.04 | 75.29 | 71.91 | — | |
| BERT2020.01 | 75.29 | 71.91 | — | |
| BM252024.06 | 75.05 | — | — | |
| BERT-FTFine-tuning=true2024.06 | 74.37 | — | — | |
| SBERT + Feedback-ICLSelection Strategy=SBERT2024.06 | 74.31 | — | — | |
| ATAE-LSTM2019.09 | 74.2 | — | — | |
| MMR + Feedback-ICLSelection Strategy=MMR2024.06 | 74 | — | — | |
| MMR2024.06 | 71.04 | — | — | |
| MN(+AS)Attention Supervision (both)=true2019.06 | 70.53 | 65.24 | — | |
| PF-CNN2019.09 | 70.06 | — | — | |
| MN(+ASa)Attention Supervision (correct)=true2019.06 | 69.95 | 64.61 | — | |
| MN(+ASm)Attention Supervision (incorrect)=true2019.06 | 69.69 | 64.37 | — | |
| SBERT2024.06 | 69.57 | — | — | |
| PG-CNN2019.09 | 69.12 | — | — | |
| MNsource=re-implementation2019.06 | 68.97 | 63.28 | — | |
| MN(+KT)Keep Training=true2019.06 | 68.95 | 63.31 | — | |
| MN (original)source=Wang et al., 20182019.06 | 68.9 | 62.89 | — | |
| AF-LSTM2019.09 | 68.81 | — | — | |
| CNN2019.09 | 68.65 | — | — | |
| AT-LSTM2019.09 | 65.83 | — | — | |
| TD-LSTM2019.09 | 62.38 | — | — | |
| ATAE-LSTM2019.09 | 60.34 | — | — | |
| DLO2023.05 | — | — | 43.64 | |
| Extract-Classify2023.05 | — | — | 35.8 | |
| MVP2023.05 | — | — | 43.92 | |
| MVPmulti-tasking=true2023.05 | — | — | 43.84 | |
| Paraphrase2023.05 | — | — | 43.51 | |
| Seq2Path2023.05 | — | — | 42.97 | |
| TAS-BERT2023.05 | — | — | 27.31 | |
| UnifiedABSA2023.05 | — | — | 42.58 |