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cs.CL2025
Follow-up Question Generation For Enhanced Patient-Provider Conversations
Joseph Gatto, Parker Seegmiller, Timothy Burdick +3
Follow-up question generation is an essential feature of dialogue systems as it can reduce conversational ambiguity and enhance modeling complex interactions. Conversational contex…
cs.CL2025
REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
Omar Sharif, Joseph Gatto, Madhusudan Basak +1
Event argument extraction identifies arguments for predefined event roles in text. Existing work evaluates this task with exact match (EM), where predicted arguments must align exa…