This work was supported by a Google Faculty Research award to the third author.
these two vectors Figure 1: A fragment of our model with latent variable zt, which only illustrates discourse information flow from sentence (t − 1) to t. the information from sentence (t − 1) affects the distribution of zt and then the words prediction within sentence t. are then linearly combined in the generation function for word y t,n , where c t−1 is set to the last hidden state of the previous sentence.