AI RESEARCH
A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models
arXiv CS.CL
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ArXi:2502.08660v3 Announce Type: replace Semantic role labeling (SRL) is a central natural language processing task for understanding predicate-argument structures within texts and enabling downstream applications. Despite extensive research, comprehensive surveys that critically synthesize the field from a unified perspective remain lacking. This survey makes several contributions beyond organizing existing work. We propose a unified four-dimensional taxonomy that categorizes SRL research along model architectures, syntax feature modeling, application scenarios, and multimodal extensions.