Given dialogue context C t in the t-th turn, we first embed each utterance in C t using a Gated Recurrent Unit (GRU) (Chung et al., 2014) based bidirectional recurrent neural networks (bi-RNNs).
in summary, our main contributions are threefold: (1) To the best of our knowledge, this is the first work to study the incremental learning framework for task-oriented dialogue systems.