AI RESEARCH
LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset
arXiv CS.CL
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ArXi:2604.10417v1 Announce Type: new In recent years, aspect-based sentiment analysis (ABSA) has made rapid progress and shown strong practical value. However, existing research and benchmarks are largely concentrated on high-resource languages, leaving fine-grained sentiment extraction in low-resource languages under-explored. To address this gap, we constructed the first Low-resource languages Aspect-based Sentiment Quadruple dataset, named LASQ, which includes two low-resource languages: Uzbek and Uyghur.