They use a hierarchical attention model where the first level decoder predicts salient sentences used for an extractive summary and based on this output, the second step predicts keywords which are used for abstractive summarization.
they do not use key words for extractive summarization and for abstractive summarization they generate key words based on sentences predicted independently of key words.