A new shared task, CLARITY, has been introduced for SemEval-2026, focusing on identifying political question evasion in U.S. presidential interviews. The task includes two subtasks: classifying responses as Clear Reply, Ambivalent, or Clear Non-Reply, and a more granular classification into nine specific evasion strategies. While top systems achieved strong performance on clarity classification, they struggled with the finer-grained evasion strategies, indicating the complexity of modeling strategic ambiguity in political discourse. AI
IMPACT Establishes a new benchmark for NLP systems to analyze strategic ambiguity in political communication.
RANK_REASON The cluster describes a new academic benchmark and shared task for computational discourse analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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