Aspect-based Sentiment Analysis on REST 2014 (test)
84.74ABSA F1 ScoreTRMoE-ISA
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TRMoE-ISABackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 84.74 | — | — | — | 90.21 | 75.9 | |
| BERTAsp+SCAPTBackbone=BERT-base, Number of Parameters=110M2026.05 | 83.79 | — | — | — | 89.11 | 72.28 | |
| MT-ISABackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 82.45 | — | — | — | 88.21 | 70.41 | |
| BERTAsp+CEPTBackbone=BERT-base, Number of Parameters=110M2026.05 | 82.07 | — | — | — | 87.5 | 67.79 | |
| THOR-promptBackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 82.03 | — | — | — | 88.13 | 72.29 | |
| GPT-4o-miniMode=Inference-only2026.05 | 81.92 | — | — | — | 88.84 | 71.76 | |
| ABSA-ESABackbone=T5-base, Number of Parameters=220M2026.05 | 81.74 | — | — | — | 88.29 | 70.78 | |
| ISAIVBackbone=BERT-base, Number of Parameters=110M2026.05 | 81.4 | — | — | — | 87.05 | — | |
| RGATBackbone=BERT-base, Number of Parameters=110M2026.05 | 81.35 | — | — | — | 86.6 | 67.79 | |
| C3DABackbone=BERT-base, Number of Parameters=110M2026.05 | 81.23 | — | — | — | 86.93 | 65.54 | |
| Flan-T5Backbone=Flan-T5-large, Number of Parameters=780M2026.05 | 81 | — | — | — | 88.75 | 71.91 | |
| THORBackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 80.85 | — | — | — | 88.21 | 70.41 | |
| TRMoE-ISABackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 80.36 | — | — | — | 88.23 | 69.16 | |
| DCRANPre-trained Model=ELECTRAlarge2021.06 | 80.32 | 89.67 | 87.59 | 84.22 | — | — | |
| THORBackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 80.09 | — | — | — | 87.05 | 66.67 | |
| InstructABSABackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 80.08 | — | — | — | 87.86 | 68.54 | |
| BERT+ADABackbone=BERT-base, Number of Parameters=110M2026.05 | 80.05 | — | — | — | 87.14 | 65.92 | |
| DCRANPre-trained Model=ELECTRAbase2021.06 | 80 | 89.64 | 87.3 | 84.12 | — | — | |
| THOR-promptBackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 79.49 | — | — | — | 86.7 | 65.92 | |
| Flan-T5Backbone=Flan-T5-base, Number of Parameters=250M2026.05 | 77.45 | — | — | — | 86.43 | 63.3 | |
| DCRANPre-trained Model=BERTlarge2021.06 | 77.28 | 88.73 | 86.07 | 80.64 | — | — | |
| BERT+SPCBackbone=BERT-base, Number of Parameters=110M2026.05 | 77.16 | — | — | — | 83.57 | 65.54 | |
| DeepSeek-V3Mode=Inference-only2026.05 | 76.14 | — | — | — | 87.14 | 65.54 | |
| Dual-MRCPre-trained Model=BERTlarge2021.06 | 75.95 | 86.6 | — | 82.04 | — | — | |
| DCRANPre-trained Model=BERTbase2021.06 | 75.77 | 88.21 | 86.36 | 78.67 | — | — | |
| InstructABSABackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 75.52 | — | — | — | 85.62 | 62.17 | |
| RACLPre-trained Model=BERTlarge2021.06 | 75.42 | 86.38 | 87.18 | 81.61 | — | — | |
| Llama-3.1-70b-instructMode=Inference-only2026.05 | 74.91 | — | — | — | 86.34 | 63.3 | |
| SPANPre-trained Model=BERTlarge2021.06 | 73.68 | 86.71 | — | 71.75 | — | — | |
| WHWPre-trained Model=GloVe2021.06 | 71.95 | — | 82.45 | — | — | — | |
| IKTNPre-trained Model=BERTbase2021.06 | 71.75 | 86.13 | 86.62 | 74.35 | — | — | |
| IMN-dPre-trained Model=BERTlarge2021.06 | 70.72 | 84.06 | 85.1 | 75.67 | — | — | |
| RACLPre-trained Model=GloVe2021.06 | 70.67 | 85.37 | 85.32 | 74.46 | — | — | |
| DOERPre-trained Model=GloVe2021.06 | 68.55 | 84.63 | — | 64.5 | — | — | |
| IMN-dPre-trained Model=GloVe2021.06 | 68.32 | 84.01 | 85.64 | 71.9 | — | — | |
| E2E-TBSAPre-trained Model=GloVe2021.06 | 66.6 | 83.92 | 84.97 | 68.38 | — | — | |
| MNNPre-trained Model=GloVe2021.06 | 63.87 | 83.05 | 84.55 | 68.45 | — | — |