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most citedNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

25 citations · 26 across the 5 of their papers we have counts for

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cs.CL2022

'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems

Rishabh Gupta, Venktesh V, Mukesh Mohania +1

This paper introduces the novel task of scoring paraphrases for Algebraic Word Problems (AWP) and presents a self-supervised method for doing so. In the current online pedagogical…