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Aspect-based Sentiment Classification on 15Rest SemEval-2015 (test)

0.9079AccuracyABSA-R1
0.7437880.7863940.8290.871606Oct 6, 2020Sep 7, 2021Aug 9, 2022Jul 11, 2023Jun 11, 2024May 13, 2025Apr 15, 2026

Evaluation results

MethodLinks
ABSA-R12026.040.90790.7673—
w/o SARAblation=without sentiment-aligned reward2026.040.89950.7534—
InstructSFT2026.040.89780.7366—
CKG-BERTBackbone=BERT2026.040.88920.7642—
KaGRMN-DSGExternal Information=Aspect Knowledge, BERT, Syntax Graph, Protocol=Best Results2021.080.8708—0.7534
w/o PRSAblation=without performance-driven rejection sampling2026.040.8660.6231—
KGAN2026.040.86210.742—
BERT+T-GCNExternal Information=BERT, Syntax Graph, Protocol=Best Results2021.080.8526—0.7169
InstructABSA22026.040.845——
A-KVMN+BERTExternal Information=BERT, Syntax Graph, Protocol=Best Results2021.080.8414—0.6849
R-GAT+BERT*External Information=BERT, Syntax Graph, Protocol=Best Results2021.080.8413—0.7112
BERT-SPC*External Information=BERT, Protocol=Best Results2021.080.8376—0.6833
ASHGAT-BERTBackbone=BERT2026.040.83570.7115—
MGGCN-BERTBackbone=BERT2026.040.8290.6927—
HDGCNInitialized embeddings=GloVe2021.060.81180.674—
HDGCNInitialized embeddings=BERT-base2021.060.81180.6221—
MCRF-SA2020.100.80820.6159—
RMN-P2026.040.80690.6441—
ASGCN-DGInitialized embeddings=GloVe2021.060.79890.6189—
CPA-SA2026.040.79610.6015—
ASGCNSource=Zhang et al. (2019)2020.100.79340.6078—
ASGCN-DTInitialized embeddings=GloVe2021.060.79340.6078—
ASGCNSource=Reproduced by authors, Runs=Average of 32020.100.78740.5767—
IANSource=Zhang et al. (2019)2020.100.78540.5265—
ASCNNSource=Zhang et al. (2019)2020.100.78480.589—
TNet-LFSource=Zhang et al. (2019)2020.100.78470.5947—
TNet-LFInitialized embeddings=GloVe2021.060.78470.5947—
ASCNNInitialized embeddings=GloVe2021.060.78470.589—
AOAInitialized embeddings=GloVe2021.060.78170.5702—
MemNetSource=Zhang et al. (2019)2020.100.77310.5828—
IAN2026.040.76540.5562—
PGCNN2026.040.75010.5183—