Xuchuan Zhou

DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis

DiffuSent is presented, a non-auto-regressive diffusion framework that systematically formulates all ABSA subtasks as boundary denoising diffusion processes, progressively refining boundaries over noisy states, and introduces a contrastive denoising training strategy which effectively address duplicate predictions with subtle variations introduced by diffusion process.