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Aspect-based Sentiment Quadruple Extraction on LASQ Uyghur

80.9Entity Target F1H2DT
29.659242.962156.26569.5679Apr 12, 2026

Evaluation results

MethodLinks
H2DT2026.0480.924.6349.8620.3839.817.3120.4511.0514.25
SKEM2026.0480.4627.7550.6623.6340.0118.2819.7713.616.11
Meta-WP2026.0479.7424.6850.2520.2338.4517.2323.529.7713.81
MRM-STS2026.0477.5126.1147.9421.2139.7116.6816.0411.813.59
EC-ACOS2026.0469.3223.8137.5518.2130.8215.5914.298.00610.31
Span-ASTE2026.0468.3124.7639.2918.7831.8315.6515.559.3611.69
ParaPhrase2026.0462.6520.9540.2616.7231.7713.5718.637.2610.45
GPT-5Evaluation Setting=In-context learning (ICL)2026.0442.8316.1425.1111.8524.3912.4314.28.5110.64
GPT-5Evaluation Setting=Zero-shot (ZS)2026.0440.7914.4122.8310.4922.171112.576.538.59
Qwen3-MaxEvaluation Setting=In-context learning (ICL)2026.0434.2115.824.6312.1523.6511.7812.48.349.97
Qwen3-MaxEvaluation Setting=Zero-shot (ZS)2026.0431.6312.3220.579.8720.599.5410.096.387.82