A User Simulator for Task-Completion Dialogues

Preprint English OPEN
Li, Xiujun; Lipton, Zachary C.; Dhingra, Bhuwan; Li, Lihong; Gao, Jianfeng; Chen, Yun-Nung;
  • Subject: Computer Science - Computation and Language | Computer Science - Artificial Intelligence | Computer Science - Learning

Despite widespread interests in reinforcement-learning for task-oriented dialogue systems, several obstacles can frustrate research and development progress. First, reinforcement learners typically require interaction with the environment, so conventional dialogue corpo... View more
  • References (18)
    18 references, page 1 of 2

    [1] Layla El Asri, Jing He, and Kaheer Suleman. A sequence-to-sequence model for user simulation in spoken dialogue systems. arXiv:1607.00070, 2016.

    [2] Heriberto Cuayáhuitl, Steve Renals, Oliver Lemon, and Hiroshi Shimodaira. Human-computer dialogue simulation using hidden markov models. In IEEE Workshop on Automatic Speech Recognition and Understanding. IEEE, 2005.

    [3] Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, and Li Deng. End-to-end reinforcement learning of dialogue agents for information access. arXiv:1609.00777, 2016.

    [4] Wieland Eckert, Esther Levin, and Roberto Pieraccini. User modeling for spoken dialogue system evaluation. In Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on, pages 80-87. IEEE, 1997.

    [5] Matthew Frampton and Oliver Lemon. Learning more effective dialogue strategies using limited dialogue move features. In ACL. Association for Computational Linguistics, 2006.

    [6] Kallirroi Georgila, James Henderson, and Oliver Lemon. Learning user simulations for information state update dialogue systems. In INTERSPEECH, pages 893-896, 2005.

    [7] Dilek Hakkani-Tür, Gokhan Tur, Asli Celikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, and Ye-Yi Wang. Multi-domain joint semantic frame parsing using bi-directional rnn-lstm. In Interspeech, 2016.

    [8] Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Minwoo Jeong, and Gary Geunbae Lee. Data-driven user simulation for automated evaluation of spoken dialog systems. Computer Speech & Language, 23(4):479-509, 2009.

    [9] Esther Levin, Roberto Pieraccini, and Wieland Eckert. A stochastic model of human-machine interaction for learning dialog strategies. IEEE Transactions on speech and audio processing, 8(1):11-23, 2000.

    [10] Zachary C Lipton, Jianfeng Gao, Lihong Li, Xiujun Li, Faisal Ahmed, and Li Deng. Efficient exploration for dialogue policy learning with BBQ networks & replay buffer spiking. arXiv:1608.05081, 2016.

  • Related Research Results (1)
    Inferred by OpenAIRE
    TC-Bot software on GitHub
  • Metrics
Share - Bookmark