%0 Generic %1 serban2016hierarchical %A Serban, Iulian Vlad %A Sordoni, Alessandro %A Lowe, Ryan %A Charlin, Laurent %A Pineau, Joelle %A Courville, Aaron C. %A Bengio, Yoshua %D 2016 %K deep dialogue learning machine multiresolution network neural recurrent systems %T A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. %U http://arxiv.org/abs/1605.06069 %X Sequential data often possesses a hierarchical structure with complex dependencies between subsequences, such as found between the utterances in a dialogue. In an effort to model this kind of generative process, we propose a neural network-based generative architecture, with latent stochastic 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 recent neural network architectures. We evaluate the model performance through automatic evaluation metrics and by carrying out a human evaluation. The experiments demonstrate that our model improves upon recently proposed models and that the latent variables facilitate the generation of long outputs and maintain the context.

@misc{serban2016hierarchical, abstract = {Sequential data often possesses a hierarchical structure with complex dependencies between subsequences, such as found between the utterances in a dialogue. In an effort to model this kind of generative process, we propose a neural network-based generative architecture, with latent stochastic 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 recent neural network architectures. We evaluate the model performance through automatic evaluation metrics and by carrying out a human evaluation. The experiments demonstrate that our model improves upon recently proposed models and that the latent variables facilitate the generation of long outputs and maintain the context.}, added-at = {2017-08-22T23:19:05.000+0200}, author = {Serban, Iulian Vlad and Sordoni, Alessandro and Lowe, Ryan and Charlin, Laurent and Pineau, Joelle and Courville, Aaron C. and Bengio, Yoshua}, biburl = {https://www.bibsonomy.org/bibtex/2dbda7b9c5a47c2c63d6a27c0e48713d9/porta}, description = {[1605.06069] A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues}, interhash = {15d057b55b7f1993bee2c7bcf38a8f80}, intrahash = {dbda7b9c5a47c2c63d6a27c0e48713d9}, keywords = {deep dialogue learning machine multiresolution network neural recurrent systems}, note = {cite arxiv:1605.06069Comment: 15 pages, 5 tables, 4 figures}, timestamp = {2017-08-22T23:19:05.000+0200}, title = {A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.}, url = {http://arxiv.org/abs/1605.06069}, year = 2016 }