%0 Generic %1 Serban2015 %A Serban, Iulian V. %A Sordoni, Alessandro %A Bengio, Yoshua %A Courville, Aaron %A Pineau, Joelle %D 2015 %K audiovisual cinema traducción %P 8 %T Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models %U http://arxiv.org/abs/1507.04808 %X We investigate the task of building open domain, conversational dialogue systems based on large dialogue corpora using generative models. Generative models produce system responses that are autonomously generated word-by-word, opening up the possibility for realistic, flexible interactions. In support of this goal, we extend the recently proposed hierarchical recurrent encoder-decoder neural network to the dialogue domain, and demonstrate that this model is competitive with state-of-the-art neural language models and back-off n-gram models. We investigate the limitations of this and similar approaches, and show how its performance can be improved by bootstrapping the learning from a larger question-answer pair corpus and from pretrained word embeddings.

@misc{Serban2015, abstract = {We investigate the task of building open domain, conversational dialogue systems based on large dialogue corpora using generative models. Generative models produce system responses that are autonomously generated word-by-word, opening up the possibility for realistic, flexible interactions. In support of this goal, we extend the recently proposed hierarchical recurrent encoder-decoder neural network to the dialogue domain, and demonstrate that this model is competitive with state-of-the-art neural language models and back-off n-gram models. We investigate the limitations of this and similar approaches, and show how its performance can be improved by bootstrapping the learning from a larger question-answer pair corpus and from pretrained word embeddings.}, added-at = {2015-12-09T17:36:08.000+0100}, archiveprefix = {arXiv}, arxivid = {1507.04808}, author = {Serban, Iulian V. and Sordoni, Alessandro and Bengio, Yoshua and Courville, Aaron and Pineau, Joelle}, biburl = {https://www.bibsonomy.org/bibtex/2f93a2fa38c2b14faa1de5fd52243e0f7/cuevas.d}, eprint = {1507.04808}, file = {:C$\backslash$:/Users/MATIAS/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Serban et al. - 2015 - Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.pdf:pdf}, interhash = {22dfc8355f1fb003664427c4251aa8c3}, intrahash = {f93a2fa38c2b14faa1de5fd52243e0f7}, keywords = {audiovisual cinema traducción}, mendeley-tags = {audiovisual,cinema,translation}, month = jul, pages = 8, timestamp = {2015-12-10T10:02:17.000+0100}, title = {{Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models}}, url = {http://arxiv.org/abs/1507.04808}, urldate = {2015-12-08}, year = 2015 }