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    <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.</abstract>
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%0 Conference Proceedings
%T ChartDialogs: Plotting from Natural Language Instructions
%A Shao, Yutong
%A Nakashole, Ndapa
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F shao-nakashole-2020-chartdialogs
%X 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.
%R 10.18653/v1/2020.acl-main.328
%U https://aclanthology.org/2020.acl-main.328
%U https://doi.org/10.18653/v1/2020.acl-main.328
%P 3559-3574

Markdown (Informal)

[ChartDialogs: Plotting from Natural Language Instructions](https://aclanthology.org/2020.acl-main.328) (Shao & Nakashole, ACL 2020)

• ChartDialogs: Plotting from Natural Language Instructions (Shao & Nakashole, ACL 2020)

ACL

• Yutong Shao and Ndapa Nakashole. 2020. ChartDialogs: Plotting from Natural Language Instructions. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3559–3574, Online. Association for Computational Linguistics.