Evaluating Text GANs as Language Models

Guy Tevet, Gavriel Habib, Vered Shwartz +1

Generative Adversarial Networks (GANs) are a promising approach for text generation that, unlike traditional language models (LM), does not suffer from the problem of ``exposure bi…