Overview / Usage

Natural Language Processing with Small Feed-Forward Networks We show that small and shallow feedforward neural networks can achieve near state-of-the-art results on a range of unstructured and structured language processing tasks while being considerably cheaper in memory and computational requirements than deep recurrent models. This is an implementation of this paper https://arxiv.org/abs/1708.00214 .