Making a (Counterfactual) Difference One Rationale at a Time

Mitchell Plyler, Michael Green, Min Chi

Rationales, snippets of extracted text that explain an inference, have emerged as a popular framework for interpretable natural language processing (NLP). Rationale models typicall…