2020
RANCC: Rationalizing Neural Networks via Concept Clustering
COLING 2020main
We propose a new self-explainable model for Natural Language Processing (NLP) text classification tasks. Our approach constructs explanations concurrently with the formulation of classification predictions. To do so, we extract a rationale from the text, then use it to predict a concept of interest…