A RAG system with multi-level domain KBs detects pragmatic ambiguities in NL requirements via interpretation discrepancies and generates candidate disambiguations, with GPT-4o-mini reaching 0.75 macro F2 on two PURE documents.
Chantree, Bashar Nuseibeh, Anne De Roeck, and Alistair Willis
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A Retrieval-Augmented Framework for Detecting and Resolving Pragmatic Ambiguities in Natural Language Requirements
A RAG system with multi-level domain KBs detects pragmatic ambiguities in NL requirements via interpretation discrepancies and generates candidate disambiguations, with GPT-4o-mini reaching 0.75 macro F2 on two PURE documents.