Hierarchical Variational Memory Network for Dialogue Generation-Reference-Cited by-同舟云学术

Hierarchical Variational Memory Network for Dialogue Generation

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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Author:

Chen Hongshen¹,Ren Zhaochun¹,Tang Jiliang²,Zhao Yihong Eric³,Yin Dawei¹

Affiliation:

1. JD.com, Beijing, China

2. Michigan State University, East Lansing, MI, USA

3. JD.com, Beijing, CA, China

Funder

National Science Foundation

Publisher

ACM Press

Reference45 articles.

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3. J. Bayer and C. Osendorfer. Learning stochastic recurrent networks. In NIPS, Workshop on Advances in Variational Inference, 2014.

4. A. Bordes and J. Weston. Learning end-to-end goal-oriented dialog. In Proceedings of the 5th International Conference on Learning Representations, 2017.

5. S. R. Bowman, L. Vilnis, O. Vinyals, A. M. Dai, R. Jozefowicz, and S. Bengio. Generating sentences from a continuous space. In Proceedings of 20th SIGNLL Conference on Computational Natural Language Learning, pages 10--21, 2015.

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