BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems

Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi. BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. In Wanxiang Che, Ekaterina Shutova, editors, Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 - System Demonstrations, Abu Dhabi, UAE, December 7-11, 2022. pages 178-190, Association for Computational Linguistics, 2022. [doi]

@inproceedings{WangTJWAH22,
  title = {BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems},
  author = {Guangsen Wang and Samson Tan and Shafiq R. Joty and Gang Wu and Jimmy Au and Steven C. H. Hoi},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-demos.18},
  researchr = {https://researchr.org/publication/WangTJWAH22},
  cites = {0},
  citedby = {0},
  pages = {178-190},
  booktitle = {Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 - System Demonstrations, Abu Dhabi, UAE, December 7-11, 2022},
  editor = {Wanxiang Che and Ekaterina Shutova},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-41-8},
}