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Shrome at Touché: Soft-Vote Ensembling and Counter-Causal Augmentation for Causality Extraction

Nobari, Roham Zendehdel et al.
arXiv (All) · Papers
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computation-and-language
Touché 2026 extends causality extraction to counter-causal claims: news sentences whose surface form appears causal but whose meaning denies the causation, as in "It is falsely believed that X caused Y." A system that relies on surface cues such as "caused" or "led to" will accept such a sentence as
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