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CASA: Causality-driven Argument Sufficiency Assessment
April 3, 2024, 4:47 a.m. | Xiao Liu, Yansong Feng, Kai-Wei Chang
cs.CL updates on arXiv.org arxiv.org
Abstract: The argument sufficiency assessment task aims to determine if the premises of a given argument support its conclusion. To tackle this task, existing works often train a classifier on data annotated by humans. However, annotating data is laborious, and annotations are often inconsistent due to subjective criteria. Motivated by the definition of probability of sufficiency (PS) in the causal literature, we proposeCASA, a zero-shot causality-driven argument sufficiency assessment framework. PS measures how likely introducing the …
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