Our convolutional encoder associates each word with a topic vector capturing whether it is representative of the document's content, while our convolutional decoder conditions each word prediction on a document topic vector.
in this section we present our experimental setup for assessing the performance of our Topic-aware Convolutional Sequence to Sequence model which we call T-CONVS2S for short.