@inproceedings{shao-nakashole-2020-chartdialogs,
    title = "{C}hart{D}ialogs: {P}lotting from {N}atural {L}anguage {I}nstructions",
    author = "Shao, Yutong  and
      Nakashole, Ndapa",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.acl-main.328/",
    doi = "10.18653/v1/2020.acl-main.328",
    pages = "3559--3574",
    abstract = "This paper presents the problem of conversational plotting agents that carry out plotting actions from natural language instructions. To facilitate the development of such agents, we introduce ChartDialogs, a new multi-turn dialog dataset, covering a popular plotting library, matplotlib. The dataset contains over 15,000 dialog turns from 3,200 dialogs covering the majority of matplotlib plot types. Extensive experiments show the best-performing method achieving 61{\%} plotting accuracy, demonstrating that the dataset presents a non-trivial challenge for future research on this task."
}