To address the aforementioned problems of RGMPC, this paper incorporates Interlocutoraware Contexts into a Recurrent Encoder-Decoder model (ICRED) for RGMPC, which is also an end-to-end framework.
in order to capture interlocutor information, we exploit interactive interlocutor representations learned from current dialog context rather than the fixed person vectors (Li et al., 2016b) obtained from all dialogs in the training corpus.