Aspect Sentiment Triplet Extraction on D2 14Lap
63.61F1 ScoreMiniConGTS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MiniConGTSMethod Category=Ours2024.06 | 63.61 | 66.82 | 60.68 | |
| STAGE-2DMethod Category=Table-filling2024.06 | 61.88 | 70.56 | 55.16 | |
| BDTFMethod Category=Table-filling2024.06 | 61.74 | 68.94 | 55.97 | |
| STAGE-3DMethod Category=Table-filling2024.06 | 61.58 | 71.98 | 53.86 | |
| STAGE-1DMethod Category=Table-filling2024.06 | 61.49 | 71.48 | 53.97 | |
| Triple-MRCMethod Category=Seq2seq2024.06 | 60.72 | — | — | |
| COM-MRCMethod Category=Seq2seq2024.06 | 60.17 | 62.35 | 58.16 | |
| Double-encoderMethod Category=Table-filling2024.06 | 59.11 | 62.12 | 56.38 | |
| EMC-GCNMethod Category=Table-filling2024.06 | 58.81 | 61.7 | 56.26 | |
| Span-BARTMethod Category=Sequence-tagging2024.06 | 58.69 | 61.41 | 56.19 | |
| BMRC+Method Category=Seq2seq2024.06 | 58.18 | 65.91 | 52.15 | |
| DGCNAPMethod Category=Table-filling2024.06 | 57.57 | 62.02 | 53.79 | |
| Dual-MRCMethod Category=Seq2seq2024.06 | 55.58 | 57.39 | 53.88 | |
| GTSMethod Category=Table-filling2024.06 | 54.36 | 57.82 | 51.32 | |
| JETMethod Category=Sequence-tagging2024.06 | 51.04 | 55.39 | 47.33 | |
| Li-unified-R+PD#Method Category=Pipeline2024.06 | 51 | 41.04 | 67.35 | |
| GPT-3.5-turboPrompting=few-shot, Method Category=LLM-based2024.06 | 44.35 | 39.79 | 50.09 | |
| Two-stageMethod Category=Pipeline2024.06 | 42.87 | 37.38 | 50.38 | |
| GPT-4OPrompting=few-shot, Method Category=LLM-based2024.06 | 42.8 | 38.23 | 48.61 | |
| GPT-3.5-turboPrompting=CoT+few-shot, Method Category=LLM-based2024.06 | 37.57 | 33.78 | 42.33 | |
| GPT-3.5-turboPrompting=CoT, Method Category=LLM-based2024.06 | 34.71 | 30.48 | 40.3 | |
| GPT-3.5-turboPrompting=zero-shot, Method Category=LLM-based2024.06 | 34.69 | 30.04 | 41.04 | |
| GPT-4OPrompting=CoT+few-shot, Method Category=LLM-based2024.06 | 34.4 | 29.71 | 40.85 | |
| GPT-4OPrompting=CoT, Method Category=LLM-based2024.06 | 31.46 | 26.98 | 37.71 | |
| GPT-4OPrompting=zero-shot, Method Category=LLM-based2024.06 | 19.9 | 17.81 | 22.55 |