Probabilistic Syntax-Aware Joint Span–Sentiment Learning for Aspect-Based Sentiment Analysis
A Probabilistic Syntax-Aware Joint Span–Sentiment Learning (PSJL) approach for ABSA that relaxes discrete span selection into a differentiable span distribution and dynamically incorporates syntactic constraints for end-to-end optimization.