Furthermore, unlike prior work employing either classification (Gong and Zhang, 2016) or generation models (Wang et al., 2019a), we propose a unified framework to couple the advantages of keyphrase classification and generation.
in addition to the joint training of both modules, we further extend the copy mechanism (See et al., 2017) to explicitly aggregate classification outputs together with tokens from the source input.