End-to-end neural response generation methods are promising for developing open domain dialogue systems as they allow to learn from very large unlabeled datasets (Shang et al., 2015;Sordoni et al., 2015;Vinyals and Le, 2015).
the semantic representation of a dialogue context x is then ; for a response y, it is Here, w j and v i are importance weights for each word in the sentence.