Hallucinations in Structured Extraction: A Case Study on Prompt-Based Semantic Role Labeling
This paper studies hallucinations in structured extraction using prompt-based Semantic Role Labeling (SRL) as a controlled case study. We implement a DSPy-based pipeline in which each prediction includes a generated rationale and a citation to a governing rule, allowing extraction errors to be aggregated by attributed...