@inproceedings{zhu-etal-2020-convlab,
    title = "{C}onv{L}ab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems",
    author = "Zhu, Qi  and
      Zhang, Zheng  and
      Fang, Yan  and
      Li, Xiang  and
      Takanobu, Ryuichi  and
      Li, Jinchao  and
      Peng, Baolin  and
      Gao, Jianfeng  and
      Zhu, Xiaoyan  and
      Huang, Minlie",
    editor = "Celikyilmaz, Asli  and
      Wen, Tsung-Hsien",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2020.acl-demos.19/",
    doi = "10.18653/v1/2020.acl-demos.19",
    pages = "142--149",
    abstract = "We present ConvLab-2, an open-source toolkit that enables researchers to build task-oriented dialogue systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of systems. As the successor of ConvLab, ConvLab-2 inherits ConvLab`s framework but integrates more powerful dialogue models and supports more datasets. Besides, we have developed an analysis tool and an interactive tool to assist researchers in diagnosing dialogue systems. The analysis tool presents rich statistics and summarizes common mistakes from simulated dialogues, which facilitates error analysis and system improvement. The interactive tool provides an user interface that allows developers to diagnose an assembled dialogue system by interacting with the system and modifying the output of each system component."
}