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Variational autoencoders (VAE) combined with hierarchical RNNs have emerged as a powerful framework for conversation modeling.
Long short-term memory
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Building end-to-end dialogue systems using generative hierarchical neural network models
Variational neural machine translation
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Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C Courville, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
A hierarchical recurrent encoder-decoder for generative context-aware query suggestion
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, and Jian-Yun Nie. 2015a
Cited in the paper.
A neural network approach to context-sensitive generation of conversational responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015b
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A comparison of greedy and optimal assessment of natural language student input using word-to-word similarity metrics
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