2022
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
ICML 2022spotlight
Models that generate extractive rationales (i.e., subsets of features) or natural language explanations (NLEs) for their predictions are important for explainable AI. While an extractive rationale provides a quick view of the features most responsible for a prediction, an NLE allows for a comprehens…