G-DAUG: Generative Data Augmentation for Commonsense Reasoning

24 Apr 2020Yiben YangChaitanya MalaviyaJared FernandezSwabha SwayamdiptaRonan Le BrasJi-Ping WangChandra BhagavatulaYejin ChoiDoug Downey

Recent advances in commonsense reasoning depend on large-scale human-annotated training data to achieve peak performance. However, manual curation of training examples is expensive and has been shown to introduce annotation artifacts that neural models can readily exploit and overfit on... (read more)

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