Aspect Sentiment Triplet Extraction on 15Res D1 (test)
65.97F1 ScoreBDTF
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BDTFApproach Category=Table-filling2024.06 | 65.97 | 66.95 | 65.05 | |
| MiniConGTS2024.06 | 65.43 | 66.84 | 64.08 | |
| COM-MRCApproach Category=MRC based2024.06 | 63.65 | 68.5 | 59.74 | |
| BMRCApproach Category=MRC based2024.06 | 61.05 | 63.71 | 58.63 | |
| EMC-GCNApproach Category=Table-filling2024.06 | 60.38 | 59.89 | 61.05 | |
| Span-BARTApproach Category=Sequence-tagging2024.06 | 60.1 | — | — | |
| DGCNAPApproach Category=Table-filling2024.06 | 59.49 | 62.03 | 57.18 | |
| GTSApproach Category=Table-filling2024.06 | 58.67 | 59.29 | 58.07 | |
| S3E2Approach Category=Table-filling2024.06 | 58.66 | 61.06 | 56.44 | |
| CMLA+C-GCNApproach Category=Pipeline2024.06 | 55.76 | 64.31 | 49.41 | |
| JETApproach Category=Sequence-tagging2024.06 | 54.67 | 58.35 | 51.43 | |
| OTE-MTLApproach Category=Pipeline2024.06 | 48.97 | — | — | |
| Two-stageApproach Category=Pipeline2024.06 | 48.71 | 51.7 | 46.04 | |
| Li-unified-R+PDApproach Category=Pipeline2024.06 | 46.69 | 43.34 | 50.73 | |
| GPT-3.5-turboPrompting=few-shot2024.06 | 46.02 | 36.94 | 61.01 | |
| GPT-3.5-turboPrompting=CoT+few-shot2024.06 | 44.35 | 35.71 | 58.49 | |
| GPT-3.5-turboPrompting=CoT2024.06 | 43.53 | 35.17 | 57.11 | |
| GPT-3.5-turboPrompting=zero-shot2024.06 | 39.21 | 31.21 | 52.75 | |
| RI-NANTEApproach Category=Pipeline2024.06 | 29.97 | 29.88 | 30.06 |