In this paper, we focus on human-grounded evaluations of local explanation methods for text classification.
we propose three evaluation tasks which target different purposes of explanations for text classification -(1) revealing model behavior to human users, (2) justifying the predictions, and (3) helping humans investigate uncertain predictions.