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CSRR-2022-Knowledge-Augmented Language Models for Cause-Effect Relation Classification

Open BrambleXu opened this issue 2 years ago • 0 comments

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:

  • pdf
  • phosseini/causal-reasoning

Paper information:

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BrambleXu avatar Jan 26 '23 01:01 BrambleXu