Recently, a decent number of deep learning based models have been proposed for text generation.
in tasks that are set up to judge individual pieces of generated text (e.g., reviews, translations, summaries, captions, fake news) where there exists human-written ground-truth, it is better to use word-overlap metrics instead of adversarial evaluators.