Aspect Sentiment Triplet Extraction on 14Res D1 (test)
76F1 ScoreMiniConGTS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MiniConGTS2024.06 | 76 | 75.87 | 76.12 | |
| BDTFApproach Category=Table-filling2024.06 | 75.33 | 76.71 | 74.01 | |
| COM-MRCApproach Category=MRC based2024.06 | 72.89 | 76.45 | 69.67 | |
| Span-BARTApproach Category=Sequence-tagging2024.06 | 72.46 | — | — | |
| EMC-GCNApproach Category=Table-filling2024.06 | 71.78 | 71.85 | 72.12 | |
| BMRCApproach Category=MRC based2024.06 | 70.69 | 71.32 | 70.09 | |
| DGCNAPApproach Category=Table-filling2024.06 | 70.26 | 71.83 | 68.77 | |
| GTSApproach Category=Table-filling2024.06 | 70.2 | 70.92 | 69.49 | |
| S3E2Approach Category=Table-filling2024.06 | 66.74 | 69.08 | 64.55 | |
| JETApproach Category=Sequence-tagging2024.06 | 63.92 | 67.97 | 60.32 | |
| CMLA+C-GCNApproach Category=Pipeline2024.06 | 63.17 | 72.22 | 56.35 | |
| Two-stageApproach Category=Pipeline2024.06 | 59.64 | 58.89 | 60.41 | |
| GPT-3.5-turboPrompting=few-shot2024.06 | 56.63 | 50.32 | 64.75 | |
| Li-unified-R+PDApproach Category=Pipeline2024.06 | 51.68 | 41.44 | 68.79 | |
| GPT-3.5-turboPrompting=CoT+few-shot2024.06 | 50.59 | 44.97 | 57.81 | |
| GPT-3.5-turboPrompting=CoT2024.06 | 47.86 | 40.78 | 57.93 | |
| GPT-3.5-turboPrompting=zero-shot2024.06 | 46.18 | 39.21 | 56.17 | |
| OTE-MTLApproach Category=Pipeline2024.06 | 45.05 | — | — | |
| RI-NANTEApproach Category=Pipeline2024.06 | 34.95 | 31.42 | 39.38 |