We adapt this model to our summarization task by allowing it to recognize pertinent content (i.e., by foregrounding salient words in the document).
we improve the convolutional encoder by associating each word with a vector representing topic salience, and the convolutional decoder by conditioning each word prediction on the document topic vector.