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In this work, we propose a Linguistically-Informed Transformation (LIT) method to automatically generate contrast sets, which enables practitioners to explore linguistic phenomena of interests as well ... Building contrast sets often re-quires human-expert annotation, which is expensive and hard to create on a large scale. ... Acknowledgments We appreciate useful feedback from Noah A. Smith, Luke Zettlemoyer, Jungo Kasai, Yizhong Wang, and anonymous reviewers. ...arXiv:2010.08580v3 fatcat:cmopfv47xnb4xggjiqfepddh4q