Aspect Sentiment Triplet Extraction on 16Rest ASTE-DATA-V2 (test)
72.2PrecisionCONTRASTE-MTL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CONTRASTE-MTL2023.10 | 72.2 | 76.3 | 74.2 | |
| CONTRASTE-Base2023.10 | 72.1 | 73.9 | 73 | |
| Span-BiDir2023.10 | 71.6 | 72.6 | 72.1 | |
| BMRC2023.10 | 71.2 | 61.1 | 65.8 | |
| JET^oEncoder=GloVe2021.02 | 70.94 | 57 | 63.21 | |
| SBSK-ASTE2023.10 | 70.8 | 72 | 71.4 | |
| JET^oEncoder=BERT2021.02 | 70.42 | 58.37 | 63.83 | |
| JET-BERT2023.10 | 70.4 | 58.4 | 63.8 | |
| GTS-BILSTMEncoder=GloVe2021.02 | 70.17 | 55.95 | 62.26 | |
| PARAPHRASE2023.10 | 70.1 | 73.9 | 71.9 | |
| Span-ASTE2023.10 | 69.5 | 71.2 | 70.3 | |
| ASTE-Base2023.10 | 69.5 | 75.1 | 72.2 | |
| GTSEncoder=BERT2021.02 | 67.39 | 66.73 | 67.06 | |
| Unified-BART-ABSA2023.10 | 66.6 | 68.7 | 67.6 | |
| GAS2023.10 | 66.1 | 68.7 | 67.4 | |
| OTE-MTLEncoder=GloVe2021.02 | 65.65 | 54.28 | 59.42 | |
| EMC-GCN2023.10 | 65.6 | 71.3 | 68.3 | |
| PASTE2023.10 | 65.5 | 64.4 | 65 | |
| GTS-BERT2023.10 | 65.4 | 68 | 66.7 | |
| JET^tEncoder=BERT2021.02 | 65.28 | 51.95 | 57.85 | |
| JET^tEncoder=GloVe2021.02 | 63.59 | 50.97 | 56.59 | |
| Two-stage Correlation Enhanced Network2021.02 | 63.57 | 71.98 | 67.52 | |
| OTE-MTL2023.10 | 60.3 | 53.4 | 56.5 | |
| Peng-two-stage2023.10 | 47 | 64.2 | 54.2 | |
| Peng et al. (2020)Encoder=GloVe2021.02 | 46.96 | 64.24 | 54.21 | |
| ChatGPT2023.10 | 44.9 | 61.7 | 52 | |
| CMLA+Encoder=GloVe2021.02 | 41.34 | 42.1 | 41.72 | |
| CMLA+2023.10 | 41.3 | 42.1 | 41.7 | |
| Li-unified-REncoder=GloVe2021.02 | 37.33 | 54.51 | 44.31 | |
| Li-unified-R2023.10 | 37.3 | 54.5 | 44.3 | |
| RINANTE+2023.10 | 25.7 | 22.3 | 23.9 | |
| RINANTE+Encoder=GloVe2021.02 | 25.68 | 22.3 | 23.87 |