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In this paper, we propose a novel Neural Execution Tree (NExT) framework to augment training data for text classification using NL explanations.

After transforming NL** explanations into executable logical forms by semantic parsing, NExT generalizes different types of actions specified by the logical forms for labeling data instances, which substantially increases the coverage of each NL explanation.