In academia, work on generating human-like interaction focused so far on generating responses to tweets (Ritter et al., 2011;Hasegawa et al., 2013) or taking turns in short dialogs (Li et al., 2017).
the architectures assumed in these studies implement sequence to sequence (seq2seq) mappings, which do not take into account topics, sentiments or agendas of the intended responders.