Sequence labeling models are built on a recurrent neural network to sequentially go through a source text and learn the likelihood of each word in the source text to be a keyphrase word (Zhang et al., 2016;Luan et al., 2017;Gollapalli et al., 2017).
to these extractive methods, our approach can generate both absent and present keyphrases.