Generate Then Correct: Single Shot Global Correction for Aspect Sentiment Quad Prediction

ArXi:2603.13777v1 Announce Type: cross Aspect-based sentiment analysis (ABSA) extracts aspect-level sentiment signals from user-generated text, s product analytics, experience monitoring, and public-opinion tracking, and is central to fine-grained opinion mining. A key challenge in ABSA is aspect sentiment quad prediction (ASQP), which requires identifying four elements: the aspect term, the aspect category, the opinion term, and the sentiment polarity. However, existing studies usually linearize the unordered quad set into a fixed-order template and decode it left-to-right.