SeqGAN: text generation with generative models

In this post, we propose to review the recent history of research in the Natural Language Generation (NLG) tasks of the Natural Language Processing domain. Realistic human-like language generation has been a challenge for researchers that has recently come into greater focus with the release of large neural models for NLP like the GPT and BERT models. In this post, we propose to focus on … Continue reading SeqGAN: text generation with generative models