Aspect Sentiment Triplet Extraction on 14Lap D1 (test)
64.07F1 ScoreMiniConGTS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MiniConGTS2024.06 | 64.07 | 67.45 | 61.01 | |
| BDTFApproach Category=Table-filling2024.06 | 60.99 | 68.3 | 55.1 | |
| COM-MRCApproach Category=MRC based2024.06 | 60.09 | 64.73 | 56.09 | |
| OTE-MTLApproach Category=Pipeline2024.06 | 59.67 | — | — | |
| BMRCApproach Category=MRC based2024.06 | 59.27 | 65.12 | 54.41 | |
| DGCNAPApproach Category=Table-filling2024.06 | 58.74 | 66.46 | 54.34 | |
| EMC-GCNApproach Category=Table-filling2024.06 | 58.32 | 61.46 | 55.56 | |
| Span-BARTApproach Category=Sequence-tagging2024.06 | 57.59 | — | — | |
| GTSApproach Category=Table-filling2024.06 | 54.58 | 57.52 | 51.92 | |
| CMLA+C-GCNApproach Category=Pipeline2024.06 | 53.03 | 60.69 | 47.25 | |
| S3E2Approach Category=Table-filling2024.06 | 52.01 | 59.43 | 46.23 | |
| JETApproach Category=Sequence-tagging2024.06 | 50 | 58.47 | 43.67 | |
| Two-stageApproach Category=Pipeline2024.06 | 47.02 | 48.62 | 45.52 | |
| Li-unified-R+PDApproach Category=Pipeline2024.06 | 42.47 | 42.25 | 42.78 | |
| GPT-3.5-turboPrompting=few-shot2024.06 | 35.41 | 29.67 | 43.9 | |
| GPT-3.5-turboPrompting=CoT2024.06 | 34.27 | 28.37 | 43.25 | |
| GPT-3.5-turboPrompting=CoT+few-shot2024.06 | 34.15 | 28.31 | 43.04 | |
| GPT-3.5-turboPrompting=zero-shot2024.06 | 31.88 | 26.21 | 40.69 | |
| RI-NANTEApproach Category=Pipeline2024.06 | 20.07 | 21.71 | 18.66 |