MEFA aggregates probability outputs from six causality sub-tasks via a fuzzy Choquet integral, improving zero-shot event causality identification by 6.2% F1 over the best unsupervised baseline.
A semi-supervised learning approach to why-question answering,
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Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models
MEFA aggregates probability outputs from six causality sub-tasks via a fuzzy Choquet integral, improving zero-shot event causality identification by 6.2% F1 over the best unsupervised baseline.