论文标题

LineCap:数据可视化字幕模型的线图

LineCap: Line Charts for Data Visualization Captioning Models

论文作者

Mahinpei, Anita, Kostic, Zona, Tanner, Chris

论文摘要

数据可视化字幕可帮助读者了解可视化的目的,对于视觉障碍的人来说至关重要。糟糕的字幕的普遍性和深度学习方法图像字幕的成功应用激发了使用类似技术来自动化图形字幕的使用。但是,由于缺乏合适的数据集,该领域的研究已经阻碍了。我们介绍了LineCap,这是一个3,528个数字的新颖图形字幕,并提供了策划该数据集和使用端到端深度学习模型来自动化图形字幕的见解。

Data visualization captions help readers understand the purpose of a visualization and are crucial for individuals with visual impairments. The prevalence of poor figure captions and the successful application of deep learning approaches to image captioning motivate the use of similar techniques for automated figure captioning. However, research in this field has been stunted by the lack of suitable datasets. We introduce LineCap, a novel figure captioning dataset of 3,528 figures, and we provide insights from curating this dataset and using end-to-end deep learning models for automated figure captioning.

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