MDKB-Bot: A Practical Framework for Multi-Domain Task-Oriented Dialogue System
暂无分享,去创建一个
Si Li | Sheng Gao | Weijie Liu | Yadi Lao
[1] Geoffrey Zweig,et al. Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning , 2017, ACL.
[2] Larry P. Heck,et al. Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding , 2016, INTERSPEECH.
[3] Ruhi Sarikaya,et al. Contextual domain classification in spoken language understanding systems using recurrent neural network , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[5] Tsung-Hsien Wen,et al. Neural Belief Tracker: Data-Driven Dialogue State Tracking , 2016, ACL.
[6] Kam-Fai Wong,et al. Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning , 2017, EMNLP.
[7] Ondrej Dusek,et al. Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings , 2016, ACL.
[8] Gökhan Tür,et al. Sequential Dialogue Context Modeling for Spoken Language Understanding , 2017, SIGDIAL Conference.