D. Bohus and A. I. Rudnicky. The ravenclaw dialog management framework: Architecture and systems. Comput. Speech Lang., 23(3):332-361, July 2009. [OpenAIRE]
 A. Bordes and J. Weston. Learning end-to-end goal-oriented dialog. CoRR, abs/1605.07683, 2016.
 D. Braun, A. Hernandez-Mendez, F. Matthes, and M. Langen. Evaluating natural language understanding services for conversational question answering systems. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 174-185, 2017.
 F. Chollet et al. Keras, 2015.
 A. Joulin, E. Grave, P. Bojanowski, and T. Mikolov. Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759, 2016.
 J. Lafferty, A. McCallum, and F. C. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. 2001.
 P. Lison and C. Kennington. Opendial: A toolkit for developing spoken dialogue systems with probabilistic rules. ACL 2016, page 67, 2016. [OpenAIRE]
 F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, et al. Scikit-learn: Machine learning in python. Journal of Machine Learning Research, 12(Oct):2825-2830, 2011. [OpenAIRE]
 J. Pennington, R. Socher, and C. Manning. Glove: Global vectors for word representation. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pages 1532-1543, 2014.
 S. Ultes, L. M. R. Barahona, P.-H. Su, D. Vandyke, D. Kim, I. Casanueva, P. Budzianowski, N. Mrkšic´, T.-H. Wen, M. Gasic, et al. Pydial: A multi-domain statistical dialogue system toolkit. Proceedings of ACL 2017, System Demonstrations, pages 73-78, 2017.
 T.-H. Wen, M. Gasic, N. Mrksic, P.-H. Su, D. Vandyke, and S. Young. Semantically conditioned lstm-based natural language generation for spoken dialogue systems. arXiv preprint arXiv:1508.01745, 2015. [OpenAIRE]
 T.-H. Wen, D. Vandyke, N. Mrksic, M. Gasic, L. M. Rojas-Barahona, P.-H. Su, S. Ultes, and S. Young. A network-based end-to-end trainable task-oriented dialogue system. arXiv preprint arXiv:1604.04562, 2016. [OpenAIRE]
 J. D. Williams, K. Asadi, and G. Zweig. Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. arXiv preprint arXiv:1702.03274, 2017.
 J. D. Williams and L. Liden. Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 82-85, 2017.
 S. Young, M. Gašic´, B. Thomson, and J. D. Williams. Pomdp-based statistical spoken dialog systems: A review. Proceedings of the IEEE, 101(5):1160-1179, 2013.