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[1] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[2] Yoshua Bengio,et al. Hierarchical Recurrent Neural Networks for Long-Term Dependencies , 1995, NIPS.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[5] Roberto Pieraccini,et al. A stochastic model of human-machine interaction for learning dialog strategies , 2000, IEEE Trans. Speech Audio Process..
[6] Joshua Goodman,et al. A bit of progress in language modeling , 2001, Comput. Speech Lang..
[7] S. Singh,et al. Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System , 2011, J. Artif. Intell. Res..
[8] Kallirroi Georgila,et al. Quantitative Evaluation of User Simulation Techniques for Spoken Dialogue Systems , 2005, SIGDIAL.
[9] Eric Atwell,et al. Chatbots: Are they Really Useful? , 2007, LDV Forum.
[10] Micha Elsner,et al. You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement , 2008, ACL.
[11] David Suendermann-Oeft,et al. Are We There Yet? Research in Commercial Spoken Dialog Systems , 2009, TSD.
[12] Ewan Klein,et al. Natural Language Processing with Python , 2009 .
[13] Pierfranca Forchini. Spontaneity reloaded: American face-to-face and movie conversation compared , 2009 .
[14] Alan Ritter,et al. Unsupervised Modeling of Twitter Conversations , 2010, NAACL.
[15] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[16] Alan Ritter,et al. Data-Driven Response Generation in Social Media , 2011, EMNLP.
[17] Marilyn A. Walker,et al. An Annotated Corpus of Film Dialogue for Learning and Characterizing Character Style , 2012, LREC.
[18] Helen F. Hastie,et al. A survey on metrics for the evaluation of user simulations , 2012, The Knowledge Engineering Review.
[19] Tomoki Toda,et al. Developing Non-goal Dialog System Based on Examples of Drama Television , 2012, Natural Interaction with Robots, Knowbots and Smartphones, Putting Spoken Dialog Systems into Practice.
[20] Yoshua Bengio,et al. Practical Recommendations for Gradient-Based Training of Deep Architectures , 2012, Neural Networks: Tricks of the Trade.
[21] Marilyn A. Walker,et al. A Corpus for Research on Deliberation and Debate , 2012, LREC.
[22] Alex Graves,et al. Sequence Transduction with Recurrent Neural Networks , 2012, ArXiv.
[23] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[24] Rafael E. Banchs. Movie-DiC: a Movie Dialogue Corpus for Research and Development , 2012, ACL.
[25] David W. Aha,et al. The Ubuntu Chat Corpus for Multiparticipant Chat Analysis , 2013, AAAI Spring Symposium: Analyzing Microtext.
[26] Milica Gasic,et al. POMDP-Based Statistical Spoken Dialog Systems: A Review , 2013, Proceedings of the IEEE.
[27] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[28] Matthew Henderson,et al. Deep Neural Network Approach for the Dialog State Tracking Challenge , 2013, SIGDIAL Conference.
[29] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[30] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[31] Luísa Coheur,et al. Luke, I am Your Father: Dealing with Out-of-Domain Requests by Using Movies Subtitles , 2014, IVA.
[32] Jürgen Schmidhuber,et al. A Clockwork RNN , 2014, ICML.
[33] Matthew Henderson,et al. Word-Based Dialog State Tracking with Recurrent Neural Networks , 2014, SIGDIAL Conference.
[34] Camille Guinaudeau,et al. TVD: A Reproducible and Multiply Aligned TV Series Dataset , 2014, LREC.
[35] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[36] Joelle Pineau,et al. Bootstrapping Dialog Systems with Word Embeddings , 2014 .
[37] Jianfeng Gao,et al. A Neural Network Approach to Context-Sensitive Generation of Conversational Responses , 2015, NAACL.
[38] Jianfeng Gao,et al. deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets , 2015, ACL.
[39] Quoc V. Le,et al. A Neural Conversational Model , 2015, ArXiv.
[40] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[41] Hang Li,et al. Neural Responding Machine for Short-Text Conversation , 2015, ACL.
[42] Jakob Grue Simonsen,et al. A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion , 2015, CIKM.
[43] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[44] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.