A. Agarwal, H. Raghavan, K. Subbian, P. Melville, R. D. Lawrence et al., Learning to Rank for Robust Question Answering, Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM '12, pp.833-842, 2012.

E. Agichtein, E. Brill, and S. Dumais, Improving Web Search Ranking by Incorporating User Behavior Information », SIGIR '06, pp.19-26, 2006.

R. Baeza-yates, C. Hurtado, and M. Mendoza, Query Recommendation Using Query Logs in Search Engines, 2004.

J. Baxter, L. Weaver, and P. Bartlett, Direct Gradient-Based Reinforcement Learning : II. Gradient Ascent Algorithms and Experiments, 1999.

P. Bojanowski, E. Grave, A. Joulin, and T. Mikolov, Enriching Word Vectors with Subword Information, vol.5, pp.135-146, 2017.

A. Bordes, J. Weston, and . Learning, End-to-End Goal-Oriented Dialog, 2016.

C. Buck, J. Bulian, M. Ciaramita, W. Gajewski, A. Gesmundo et al., Ask the Right Questions : Active Question Reformulation with Reinforcement Learning, 2017.

M. Burtsev, A. Chuklin, J. Kiseleva, and A. Borisov, Search-Oriented Conversational AI (SCAI) », ICTIR '17, ACM, pp.333-334, 2017.

C. Llanos, L. Bouamor, D. Bilinski, E. Ligozat, A. Zweigenbaum et al., Description of the PatientGenesys Dialogue System », Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2015), 2015.

H. Chen, X. Liu, D. Yin, and J. Tang, A Survey on Dialogue Systems : Recent Advances and New Frontiers, 2017.

B. Dhingra, L. Li, X. Li, J. Gao, Y. Chen et al., « Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access, vol.17, pp.484-495, 2017.

M. Dinarelli, A. Moschitti, G. Riccardi, and . Discriminative, Reranking for Spoken Language Understanding, IEEE Transactions on Audio, Speech, and Language Processing, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01478984

J. Guo, Y. Fan, Q. Ai, and W. B. Croft, « A Deep Relevance Matching Model for Ad-hoc Retrieval, pp.55-64, 2016.

S. Hochreiter, J. Schmidhuber, and . Long, Neural Comput, vol.9, issue.8, pp.1735-1780, 1997.

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, and D. S. Weld, « Knowledge-based Weak Supervision for Information Extraction of Overlapping Relations, pp.541-550, 2011.

T. Joachims, Optimizing Search Engines Using Clickthrough Data », SIGKDD '02, ACM, pp.133-142, 2002.

H. Joho, L. Cavedon, J. Arguello, M. Shokouhi, F. Radlinski et al., First International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2017 », SIGIR Forum, vol.17, pp.114-121, 2018.

R. Jones, B. Rey, O. Madani, W. Greiner, and . Generating, Proceedings of the 15th International Conference on World Wide Web, WWW '06, 2006.

D. P. Kingma, J. Ba, and . Adam, A Method for Stochastic Optimization, 2014.

R. Kraft, J. Zien, and . Mining, Anchor Text for Query Refinement, Proceedings of the 13th International Conference on World Wide Web, WWW '04, pp.666-674, 2004.

V. Kumar, G. Ramakrishnan, and Y. Li, « A framework for automatic question generation from text using deep reinforcement learning, 2018.

G. Lample, L. Denoyer, and M. Ranzato, Unsupervised Machine Translation Using Monolingual Corpora Only, 2017.

J. Li, M. Galley, C. Brockett, J. Gao, and B. Dolan, A Diversity-Promoting Objective Function for Neural Conversation Models », HLT '16, ACL, pp.110-119, 2016.

J. Li, W. Monroe, A. Ritter, M. Galley, J. Gao et al., , 2016.

J. Li, W. Monroe, T. Shi, S. Jean, A. Ritter et al., Learning for Neural Dialogue Generation, EMNLP, pp.2157-2169, 2017.

Y. Lin, Z. Liu, M. Sun, Y. Liu, and X. Zhu, Learning Entity and Relation Embeddings for Knowledge Graph Completion », AAAI, pp.2181-2187, 2015.

V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness et al., Nature, vol.518, pp.529-533, 2015.

R. Nogueira, K. Cho, and . Task, Oriented Query Reformulation with Reinforcement Learning, 2017.

A. Ritter, C. Cherry, and W. B. Dolan, « Data-driven Response Generation in Social Media, 2011.

I. V. Serban, A. Sordoni, Y. Bengio, A. Courville, and J. Pineau, Building End-to-end Dialogue Systems Using Generative Hierarchical Neural Network Models, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, pp.3776-3783, 2016.

A. Severyn and A. Moschitti, Learning to rank short text pairs with convolutional deep neural networks », SIGIR, pp.373-382, 2015.

H. Song, A. Kim, and S. Park, « Translation of Natural Language Query Into Keyword Query Using a RNN Encoder-Decoder, vol.17, pp.965-968, 2017.

A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji et al., Neural Network Approach to Context-Sensitive Generation of Conversational Responses, 2015.

R. S. Sutton, D. Mcallester, S. Singh, and Y. Mansour, « Policy Gradient Methods for Reinforcement Learning with Function Approximation, Proceedings of the 12th International Conference on Neural Information Processing Systems, NIPS'99, pp.1057-1063, 1999.

G. Tur, Spoken Language Understanding : Systems for Extracting Semantic Information from Speech, 2011.

S. Vakulenko, I. Markov, and M. De-rijke, Conversational Exploratory Search via Interactive Storytelling », NEUIR SIGIR'17, 2017.

O. Vinyals and Q. Le, Neural Conversational Model, 2015.

V. Vukotic, C. Raymond, and G. Gravier, Is it time to switch to Word Embedding and Recurrent Neural Networks for Spoken Language Understanding ? », InterSpeech, Dresde, 2015.

P. Xu and R. Sarikaya, Contextual domain classification in spoken language understanding systems using recurrent neural network », IEEE International Conference on Acoustics, Speech and Signal Processing, pp.136-140, 2014.

R. Yan, Y. Song, and H. Wu, Learning to Respond with Deep Neural Networks for RetrievalBased Human-Computer Conversation System, ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '16, pp.55-64, 2016.

Z. Yin, K. Chang, R. Zhang, and . Deepprobe, Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks, vol.17, pp.2131-2139, 2017.