Inspired by the work in dialog generation (Li et al., 2016) and spoken language understanding (Hori et al., 2016), we propose the addition of speaker information into the encoder network to explicitly model the interaction patterns of the customer and order-taker.
we learn separate word and role embeddings, and concatenate them to form the input.