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CSRR-2022-Knowledge-Augmented Language Models for Cause-Effect Relation Classification
Summary:
先行研究已经显示预训练模型里的knowledge augmentation methods是有效的。但是这些方法在不同domain,不同downstream task上的表现是不同的。本研究调查了基于预训练模型和 knowledge graph data在cause-effect relation classification 和 commonsense causal reasoning tasks上的表现。
Resource:
- phosseini/causal-reasoning
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