This has led to several attempts to use GANs for text generation, with a generator using either a recurrent neural network (RNN) Guo et al., 2017;Press et al., 2017;Rajeswar et al., 2017), or a Convolutional Neural Network (CNN) (Gulrajani et al., 2017;Rajeswar et al., 2017).
evaluating GANs is more difficult than evaluating LMs.