%0 Generic %1 li2017endtoend %A Li, Xuijun %A Chen, Yun-Nung %A Li, Lihong %A Gao, Jianfeng %D 2017 %K chatbot machinelearning nlp %T End-to-End Task-Completion Neural Dialogue Systems %U http://arxiv.org/abs/1703.01008 %X This paper presents an end-to-end learning framework for task-completion neural dialogue systems, which leverages supervised and reinforcement learning with various deep-learning models. The system is able to interface with a structured database, and interact with users for assisting them to access information and complete tasks such as booking movie tickets. Our experiments in a movie-ticket booking domain show the proposed system outperforms a modular-based dialogue system and is more robust to noise produced by other components in the system.

@misc{li2017endtoend, abstract = {This paper presents an end-to-end learning framework for task-completion neural dialogue systems, which leverages supervised and reinforcement learning with various deep-learning models. The system is able to interface with a structured database, and interact with users for assisting them to access information and complete tasks such as booking movie tickets. Our experiments in a movie-ticket booking domain show the proposed system outperforms a modular-based dialogue system and is more robust to noise produced by other components in the system.}, added-at = {2017-03-09T03:45:50.000+0100}, author = {Li, Xuijun and Chen, Yun-Nung and Li, Lihong and Gao, Jianfeng}, biburl = {https://www.bibsonomy.org/bibtex/292e1cfc917818f928c9ac574f16d75c5/winterdawn}, description = {End-to-End Task-Completion Neural Dialogue Systems}, interhash = {44a837ed11c7744860bb4eec121fb3fc}, intrahash = {92e1cfc917818f928c9ac574f16d75c5}, keywords = {chatbot machinelearning nlp}, note = {cite arxiv:1703.01008}, timestamp = {2017-03-09T03:45:50.000+0100}, title = {End-to-End Task-Completion Neural Dialogue Systems}, url = {http://arxiv.org/abs/1703.01008}, year = 2017 }