Let the CAT out of the bag: Contrastive Attributed explanations for Text. (arXiv:2109.07983v3 [cs.CL] UPDATED)

Contrastive explanations for understanding the behavior of black box models
has gained a lot of attention recently as they provide potential for recourse.
In this paper, we propose a method Contrastive Attributed explanations for Text
(CAT) which provides contrastive explanations for natural language text data
with a novel twist as we build and exploit attribute classifiers leading to
more semantically meaningful explanations. To ensure that our contrastive
generated text has the fewest possible edits with respect to the original text, …

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