Seriousness of the problem (top-k, k = 10)  In this paper, we propose a parallel Seq2Seq network (ParaNet) with the coverage attention to alleviate the overlapping phrase problem.
we exploit two standalone encoders to encode separately the source text and syntactic constraints into network on the source side, and then applies multi-task learning framework to generate the keyphrases and part-of-speech (POS) tags for words in keyphrases on the target side.