@inproceedings{li2017end-to-end,
author = {Li, Xiujun and Chen, Yun-Nung and Li, Lihong and Gao, Jianfeng and Celikyilmaz, Asli},
title = {End-to-End Task-Completion Neural Dialogue Systems},
booktitle = {the 8th International Joint Conference on Natural Language Processing},
year = {2017},
month = {November},
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.},
publisher = {IJCNLP 2017},
url = {http://approjects.co.za/?big=en-us/research/publication/end-end-task-completion-neural-dialogue-systems/},
edition = {the 8th International Joint Conference on Natural Language Processing},
}