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ResearchFormerly WizWand

Aspect-Level Sentiment Analysis on SemEval Task 4 Laptop 2014 (test)

88AccuracyFlan-T5 + RVISAg
68.801673.785878.7783.7542May 12, 2020Jan 19, 2021Sep 28, 2021Jun 7, 2022Feb 14, 2023Oct 24, 2023Jul 2, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Flan-T5 + RVISAgModel Parameters=11B, Rationale=GPT-3.52024.0788
Flan-T5 + RVISAvModel Parameters=11B, Rationale=Vicuna2024.0787.43
RoBERTa + SKEPModel Size=large2020.0581.47
Previous SOTA2020.0581.35
RoBERTa + SKEPModel Size=base2020.0581.32
T5 Base + ABSA-ESAModel Parameters=220M2024.0780
RoBERTaModel Size=large2020.0579.22
RoBERTaModel Size=base2020.0578.11
BERT Asp + SCAPTModel Parameters=110M2024.0777.59
Flan-T5 + THORModel Parameters=11B2024.0776.57
BERT Asp + CEPTModel Parameters=110M2024.0775.86
Flan-T5 + promptModel Parameters=11B2024.0775.43
Flan-T5 + RVISAgModel Parameters=250M, Rationale=GPT-3.52024.0775.43
Flan-T5 + THORModel Parameters=250M2024.0774.29
Flan-T5 + promptModel Parameters=250M2024.0773.71
Flan-T5 + RVISAvModel Parameters=250M, Rationale=Vicuna2024.0773.71
BERT + RGATModel Parameters=110M2024.0772.99
BERT + ADA+Model Parameters=110M2024.0770.11
BERT + SPC+Model Parameters=110M2024.0769.54