We treat the keywords, We propose a Natural Language Question Generation (NLQG) model that first encodes the input sequence using some distributed representation and then decodes the output sequence from this encoded representation.
we use a RNN based encoder and decoder recently proposed for language processing tasks by number of groups (Cho et al., 2014;Sutskever et al., 2014).