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cs.CL2020
Evaluating the Evaluation of Diversity in Natural Language Generation
Guy Tevet, Jonathan Berant
Despite growing interest in natural language generation (NLG) models that produce diverse outputs, there is currently no principled method for evaluating the diversity of an NLG sy…
cs.CL2018
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…