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Computer Science > Computation and Language

arXiv:2309.07650 (cs)
[Submitted on 14 Sep 2023]

Title:Automatic Data Visualization Generation from Chinese Natural Language Questions

Authors:Yan Ge, Victor Junqiu Wei, Yuanfeng Song, Jason Chen Zhang, Raymond Chi-Wing Wong
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Abstract:Data visualization has emerged as an effective tool for getting insights from massive datasets. Due to the hardness of manipulating the programming languages of data visualization, automatic data visualization generation from natural languages (Text-to-Vis) is becoming increasingly popular. Despite the plethora of research effort on the English Text-to-Vis, studies have yet to be conducted on data visualization generation from questions in Chinese. Motivated by this, we propose a Chinese Text-to-Vis dataset in the paper and demonstrate our first attempt to tackle this problem. Our model integrates multilingual BERT as the encoder, boosts the cross-lingual ability, and infuses the $n$-gram information into our word representation learning. Our experimental results show that our dataset is challenging and deserves further research.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2309.07650 [cs.CL]
  (or arXiv:2309.07650v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2309.07650

Submission history

From: Yuanfeng Song [view email]
[v1] Thu, 14 Sep 2023 12:16:21 UTC (133 KB)
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