Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models

1 code implementation • ACL 2021 • Mingyue Han, Yinglin Wang

We mitigate this problem by simply adding a regularization loss and experimental results show that this solution not only improves the model's generalization ability, but also assists the models to perform more robustly on a challenging dataset, BCOPA-CE, which has unbiased token distribution and is more difficult for models to distinguish cause and effect.

Commonsense Causal Reasoning Semantic Similarity +1