Aspect Sentiment Triplet Extraction on Rest SemEval 2016 (test)
71.7F1 ScorePARAPHRASE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PARAPHRASEType=Sequence-to-sequence, Modeling=Natural Language Labels2021.10 | 71.7 | — | — | — | |
| Span-ASTEEncoder=BERT2021.07 | 70.26 | 69.45 | 71.17 | — | |
| GASType=Sequence-to-sequence2021.10 | 69.05 | — | — | — | |
| GTSEncoder=BERT2021.07 | 67.93 | 66.08 | 69.91 | — | |
| Two-StageType=Two-stage2021.10 | 67.52 | — | — | — | |
| PBF2021.03 | 66.5 | 61.2 | 72.7 | — | |
| GTS+BERTType=End-to-end, Backbone=BERT2021.10 | 66.08 | — | — | — | |
| PBF -w/o A2021.03 | 65.5 | 60.7 | 71.3 | — | |
| PBF-M32021.03 | 65.2 | 60.4 | 71.1 | — | |
| PBF -w/o P2021.03 | 65.1 | 59.6 | 71.8 | — | |
| PBF-M12021.03 | 65 | 59.3 | 72.1 | — | |
| GTS-BERT2021.03 | 64.4 | 62 | 67.1 | — | |
| Span-ASTEEncoder=BiLSTM2021.07 | 64.37 | 67.25 | 61.75 | — | |
| JETEncoder=BERT2021.07 | 63.83 | 70.42 | 58.37 | — | |
| Jet+BERTType=End-to-end, Backbone=BERT2021.10 | 63.83 | — | — | — | |
| JETEncoder=BiLSTM2021.07 | 63.21 | 70.94 | 57 | — | |
| PBF-M22021.03 | 60.8 | 56.6 | 65.8 | — | |
| GTSEncoder=BiLSTM2021.07 | 60.79 | 63.28 | 58.56 | — | |
| GTS-CNN2021.03 | 60.5 | 61.4 | 60 | — | |
| GTS-BiLSTM2021.03 | 59.8 | 64.6 | 55.8 | — | |
| JET-bert-o2021.03 | 59.2 | 58.3 | 60.3 | — | |
| JETo2021.03 | 58.8 | 61 | 56.8 | — | |
| Zhang et al.Encoder=BiLSTM2021.07 | 56.82 | 60.95 | 53.35 | — | |
| OTE-MTL2021.03 | 55 | 58.3 | 52.4 | — | |
| Peng et al.Encoder=BiLSTM2021.07 | 54.21 | 46.96 | 64.24 | — | |
| P-pipelineType=Pipeline-based2021.10 | 54.21 | — | — | — | |
| JET-bert-t2021.03 | 53.5 | 55 | 52.1 | — | |
| PBF -w/o AP2021.03 | 52 | 46.1 | 59.8 | — | |
| JETt2021.03 | 51.9 | 58.1 | 46.9 | — | |
| Li-unified-REncoder=BiLSTM2021.07 | 44.31 | 37.33 | 54.51 | — | |
| Li-unified-RType=Pipeline-based2021.10 | 44.31 | — | — | — | |
| CMLA+Encoder=BiLSTM2021.07 | 41.72 | 41.34 | 42.1 | — | |
| CMLA+Type=Pipeline-based2021.10 | 41.72 | — | — | — | |
| RINANTE+Encoder=BiLSTM2021.07 | 23.87 | 25.68 | 22.3 | — | |
| SSI + SEL (T5-v1.1-base)PLM=T5-v1.1-base2022.03 | — | — | — | 70.24 | |
| SSI + SEL (UIE-base)PLM=UIE-base2022.03 | — | — | — | 72.86 | |
| Xu et al.PLM=BERT-base2022.03 | — | — | — | 63.83 | |
| Xu et al.PLM=BERT-base2022.03 | — | — | — | 70.26 | |
| Yan et al.PLM=BART-base2022.03 | — | — | — | 67.62 | |
| Zhang et al.PLM=T5-base2022.03 | — | — | — | 70.1 |