Aspect-based Sentiment Quadruple Extraction on LASQ Uyghur benchmark leaderboard · SOTA2 Research

Aspect-based Sentiment Quadruple Extraction on LASQ Uyghur

80.9Entity Target F1H2DT

Evaluation Results

Method	Links
H2DT2026.04		80.9	24.63	49.86	20.38	39.8	17.31	20.45	11.05	14.25
SKEM2026.04		80.46	27.75	50.66	23.63	40.01	18.28	19.77	13.6	16.11
Meta-WP2026.04		79.74	24.68	50.25	20.23	38.45	17.23	23.52	9.77	13.81
MRM-STS2026.04		77.51	26.11	47.94	21.21	39.71	16.68	16.04	11.8	13.59
EC-ACOS2026.04		69.32	23.81	37.55	18.21	30.82	15.59	14.29	8.006	10.31
Span-ASTE2026.04		68.31	24.76	39.29	18.78	31.83	15.65	15.55	9.36	11.69
ParaPhrase2026.04		62.65	20.95	40.26	16.72	31.77	13.57	18.63	7.26	10.45
GPT-52026.04		42.83	16.14	25.11	11.85	24.39	12.43	14.2	8.51	10.64
GPT-52026.04		40.79	14.41	22.83	10.49	22.17	11	12.57	6.53	8.59
Qwen3-Max2026.04		34.21	15.8	24.63	12.15	23.65	11.78	12.4	8.34	9.97
Qwen3-Max2026.04		31.63	12.32	20.57	9.87	20.59	9.54	10.09	6.38	7.82