Besides, Table 1 also shows that appropriately scaling up the model brings better performance but consumes more resource, which implies that the simplified HRED will perform better than the baseline HRED when time or memory is limited.
hierarchical Recurrent Encoder-Decoder (hRED) is a conversational model for building end-to-end dialogue systems.