Aspect-based Sentiment Analysis on LAP 2014 (test)
85All-Aspect ScoreTRMoE-ISA
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TRMoE-ISABackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 85 | — | — | — | — | 81.63 | 82.67 | |
| Flan-T5Backbone=Flan-T5-large, Number of Parameters=780M2026.05 | 84.01 | — | — | — | — | 79.58 | 78.29 | |
| THORBackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 83.7 | — | — | — | — | 81.01 | 80.57 | |
| THOR-promptBackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 83.54 | — | — | — | — | 80.3 | 80 | |
| InstructABSABackbone=Flan-T5-large, Number of Parameters=780M2026.05 | 83.39 | — | — | — | — | 79.27 | 78.86 | |
| MT-ISABackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 82.91 | — | — | — | — | 79.86 | 80.57 | |
| BERTAsp+SCAPTBackbone=BERT-base, Number of Parameters=110M2026.05 | 82.76 | — | — | — | — | 79.15 | 77.59 | |
| ABSA-ESABackbone=T5-base, Number of Parameters=220M2026.05 | 82.44 | — | — | — | — | 79.34 | 80 | |
| GPT-4o-miniMode=Inference-only2026.05 | 82.39 | — | — | — | — | 78.28 | 73.29 | |
| InstructABSABackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 81.82 | — | — | — | — | 77.72 | 76.57 | |
| BERTAsp+CEPTBackbone=BERT-base, Number of Parameters=110M2026.05 | 81.66 | — | — | — | — | 78.38 | 75.86 | |
| THORBackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 81.66 | — | — | — | — | 77.51 | 74.29 | |
| THOR-promptBackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 81.19 | — | — | — | — | 77.42 | 74.28 | |
| TRMoE-ISABackbone=Flan-T5-base, Number of Parameters=250M2026.05 | 81.09 | — | — | — | — | 75.88 | 72.43 | |
| C3DABackbone=BERT-base, Number of Parameters=110M2026.05 | 80.61 | — | — | — | — | 77.11 | 73.57 | |
| Llama-3.1-70b-instructMode=Inference-only2026.05 | 80.56 | — | — | — | — | 73.45 | 59.43 | |
| ISAIVBackbone=BERT-base, Number of Parameters=110M2026.05 | 80.41 | — | — | — | — | 77.25 | — | |
| Flan-T5Backbone=Flan-T5-base, Number of Parameters=250M2026.05 | 80.41 | — | — | — | — | 75.2 | 71.43 | |
| DeepSeek-V3Mode=Inference-only2026.05 | 79.62 | — | — | — | — | 72.78 | 60.57 | |
| BERT+ADABackbone=BERT-base, Number of Parameters=110M2026.05 | 78.96 | — | — | — | — | 74.18 | 70.11 | |
| BERT+SPCBackbone=BERT-base, Number of Parameters=110M2026.05 | 78.22 | — | — | — | — | 73.45 | 69.54 | |
| RGATBackbone=BERT-base, Number of Parameters=110M2026.05 | 78.21 | — | — | — | — | 74.07 | 72.99 | |
| DCRANPre-trained Model=BERTbase2021.06 | — | 81.76 | 78.84 | 77.02 | 65.18 | — | — | |
| DCRANPre-trained Model=BERTlarge2021.06 | — | 83.4 | 79.72 | 78.75 | 68.07 | — | — | |
| DCRANPre-trained Model=ELECTRAbase2021.06 | — | 85.69 | 80.19 | 79.36 | 70.22 | — | — | |
| DCRANPre-trained Model=ELECTRAlarge2021.06 | — | 85.61 | 79.77 | 80.78 | 71.47 | — | — | |
| DOERPre-trained Model=GloVe2021.06 | — | 80.21 | — | 60.18 | 56.71 | — | — | |
| Dual-MRCPre-trained Model=BERTlarge2021.06 | — | 82.51 | — | 75.97 | 65.94 | — | — | |
| E2E-TBSAPre-trained Model=GloVe2021.06 | — | 77.34 | 76.62 | 68.24 | 55.88 | — | — | |
| IKTNPre-trained Model=BERTbase2021.06 | — | 80.89 | 78.9 | 73.42 | 62.34 | — | — | |
| IMN-dPre-trained Model=GloVe2021.06 | — | 78.46 | 78.14 | 69.62 | 57.66 | — | — | |
| IMN-dPre-trained Model=BERTlarge2021.06 | — | 77.55 | 81 | 75.56 | 61.73 | — | — | |
| MNNPre-trained Model=GloVe2021.06 | — | 76.94 | 77.77 | 65.98 | 53.8 | — | — | |
| RACLPre-trained Model=GloVe2021.06 | — | 81.99 | 79.76 | 71.09 | 60.63 | — | — | |
| RACLPre-trained Model=BERTlarge2021.06 | — | 81.79 | 79.72 | 73.91 | 63.4 | — | — | |
| SPANPre-trained Model=BERTlarge2021.06 | — | 82.34 | — | 62.5 | 61.25 | — | — | |
| WHWPre-trained Model=GloVe2021.06 | — | — | 74.84 | — | 62.34 | — | — |