Papers with hierarchical RNN decoders

1 papers
A Hierarchical Latent Structure for Variational Conversation Modeling (N18-1)

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Challenge: Variational autoencoders suffer from the notorious degeneration problem, according to a new study . utterance drop regularization is an important feature of the hierarchical RNNs .
Approach: They propose a variational hierarchical conversation RNN framework that exploits latent variables and an utterance drop regularization to exploit latent variable.
Outcome: The proposed model outperforms state-of-the-art models on Cornell Movie Dialog and Ubuntu Dialog Corpus.

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