CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

1 code implementation • 27 May 2022 • Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu

We introduce CEBaB, a new benchmark dataset for assessing concept-based explanation methods in Natural Language Processing (NLP).

Causal Inference counterfactual