Aspect Sentiment Triplet Extraction on 16Res D1 (test)
73.51F1 ScoreBDTF
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| BDTFApproach Category=Table-filling2024.06 | 73.51 | 73.43 | 73.64 | |
| MiniConGTS2024.06 | 71.8 | 69.38 | 74.4 | |
| COM-MRCApproach Category=MRC based2024.06 | 71.79 | 72.8 | 70.85 | |
| DGCNAPApproach Category=Table-filling2024.06 | 70.77 | 69.39 | 72.2 | |
| Span-BARTApproach Category=Sequence-tagging2024.06 | 69.98 | — | — | |
| EMC-GCNApproach Category=Table-filling2024.06 | 68.18 | 65.08 | 71.66 | |
| BMRCApproach Category=MRC based2024.06 | 68.13 | 67.74 | 68.56 | |
| GTSApproach Category=Table-filling2024.06 | 67.58 | 68.58 | 66.6 | |
| S3E2Approach Category=Table-filling2024.06 | 66.87 | 71.08 | 63.13 | |
| JETApproach Category=Sequence-tagging2024.06 | 62.98 | 64.77 | 61.29 | |
| CMLA+C-GCNApproach Category=Pipeline2024.06 | 62.7 | 66.61 | 59.23 | |
| Two-stageApproach Category=Pipeline2024.06 | 59.67 | 59.25 | 58.09 | |
| OTE-MTLApproach Category=Pipeline2024.06 | 55.83 | — | — | |
| GPT-3.5-turboPrompting=few-shot2024.06 | 54.62 | 44.8 | 69.96 | |
| GPT-3.5-turboPrompting=CoT+few-shot2024.06 | 52.74 | 43.72 | 66.45 | |
| GPT-3.5-turboPrompting=CoT2024.06 | 50 | 40.32 | 65.79 | |
| Li-unified-R+PDApproach Category=Pipeline2024.06 | 44.51 | 38.19 | 53.47 | |
| GPT-3.5-turboPrompting=zero-shot2024.06 | 44.34 | 35.28 | 59.64 | |
| RI-NANTEApproach Category=Pipeline2024.06 | 23.87 | 25.68 | 22.3 |