Aspect Sentiment Triplet Extraction on D2 (16Res)
74.83F1 ScoreMiniConGTS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MiniConGTSMethod Category=Ours2024.06 | 74.83 | 75.52 | 74.14 | |
| STAGE-1DMethod Category=Table-filling2024.06 | 73.45 | 78.38 | 69.1 | |
| STAGE-3DMethod Category=Table-filling2024.06 | 73.24 | 76.67 | 70.12 | |
| STAGE-2DMethod Category=Table-filling2024.06 | 72.75 | 77.67 | 68.44 | |
| BDTFMethod Category=Table-filling2024.06 | 72.27 | 71.44 | 73.13 | |
| COM-MRCMethod Category=Seq2seq2024.06 | 71.57 | 71.55 | 71.59 | |
| Double-encoderMethod Category=Table-filling2024.06 | 70.44 | 70.65 | 70.23 | |
| DGCNAPMethod Category=Table-filling2024.06 | 69.58 | 69.75 | 69.44 | |
| Triple-MRCMethod Category=Seq2seq2024.06 | 68.65 | — | — | |
| EMC-GCNMethod Category=Table-filling2024.06 | 68.33 | 65.62 | 71.3 | |
| GTSMethod Category=Table-filling2024.06 | 67.93 | 66.08 | 66.91 | |
| Span-BARTMethod Category=Sequence-tagging2024.06 | 67.62 | 66.6 | 68.68 | |
| Dual-MRCMethod Category=Seq2seq2024.06 | 67.4 | 68.6 | 66.24 | |
| BMRC+Method Category=Seq2seq2024.06 | 67.35 | 69.87 | 65.68 | |
| JETMethod Category=Sequence-tagging2024.06 | 63.83 | 70.42 | 58.37 | |
| GPT-4OPrompting=few-shot, Method Category=LLM-based2024.06 | 60.63 | 52.9 | 71.01 | |
| GPT-3.5-turboPrompting=few-shot, Method Category=LLM-based2024.06 | 59.45 | 51.12 | 71.01 | |
| GPT-3.5-turboPrompting=CoT+few-shot, Method Category=LLM-based2024.06 | 54.86 | 46.49 | 66.93 | |
| Two-stageMethod Category=Pipeline2024.06 | 54.21 | 46.96 | 64.24 | |
| GPT-3.5-turboPrompting=CoT, Method Category=LLM-based2024.06 | 52.1 | 44.03 | 63.81 | |
| GPT-4OPrompting=CoT+few-shot, Method Category=LLM-based2024.06 | 49.45 | 41.53 | 61.09 | |
| GPT-3.5-turboPrompting=zero-shot, Method Category=LLM-based2024.06 | 47.22 | 39.92 | 57.78 | |
| GPT-4OPrompting=CoT, Method Category=LLM-based2024.06 | 46.79 | 39.14 | 58.17 | |
| Li-unified-R+PD#Method Category=Pipeline2024.06 | 44.31 | 37.33 | 54.51 | |
| GPT-4OPrompting=zero-shot, Method Category=LLM-based2024.06 | 36.8 | 32.17 | 43 |