In this study, we propose the parallel Seq2Seq network with the coverage attention to alleviate the overlapping problem (including sub-phrase and super-phrase problems) in existing keyphrase generation methods.
we incorporate the linguistic constraints of keyphrases into the basic Seq2Seq network, and employ multi-task learning framework to enhance generation performance.