Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation

Xiang Lin, Prathyusha Jwalapuram, Shafiq Joty

State-of-the-art neural text generation models are typically trained to maximize the likelihood of each token in the ground-truth sequence conditioned on the previous target tokens…