A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

@inproceedings{Serban2017AHL,
  title={A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues},
  author={Iulian Serban and Alessandro Sordoni and Ryan Lowe and Laurent Charlin and Joelle Pineau and Aaron C. Courville and Yoshua Bengio},
  booktitle={AAAI},
  year={2017}
}
Sequential data often possesses hierarchical structures with complex dependencies between sub-sequences, such as found between the utterances in a dialogue. To model these dependencies in a generative framework, we propose a neural networkbased generative architecture, with stochastic latent variables that span a variable number of time steps. We apply the proposed model to the task of dialogue response generation and compare it with other recent neural-network architectures. We evaluate the… CONTINUE READING
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