AI RESEARCH
Revisiting Semantic Role Labeling: Efficient Structured Inference with Dependency-Informed Analysis
arXiv CS.CL
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ArXi:2605.02505v1 Announce Type: new Semantic Role Labeling (SRL) provides an explicit representation of predicate-argument structure, capturing linguistically grounded relations such as who did what to whom. While recent NLP progress has been dominated by large language models (LLMs), these systems often rely on implicit semantic representations, often lacking explicit structural constraints and systematic explanatory mechanisms.