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NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries.

Arpit Narechania, Arjun Srinivasan, John Stasko

    IEEE Transactions on Visualization and Computer Graphics
    |October 13, 2020
    PubMed
    Summary
    This summary is machine-generated.

    NL4DV is a Python toolkit that simplifies creating natural language interfaces (NLIs) for data visualization. It helps developers build NLIs for visual analytics without needing deep natural language processing expertise.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Natural language interfaces (NLIs) offer flexible interaction with visual data analysis.
    • Developing NLIs for visualization is complex, requiring expertise in natural language processing (NLP) and visualization design.
    • Existing tools often demand significant NLP and visualization development skills.

    Purpose of the Study:

    • To present NL4DV, a Python toolkit designed to facilitate the creation of natural language-driven data visualization systems.
    • To lower the barrier for visualization developers in building or integrating NLIs into their applications.
    • To enable users to interact with and specify visualizations using natural language queries.

    Main Methods:

    • NL4DV is a Python package accepting tabular data and natural language queries.
    • It outputs an analytic specification in JSON format, including data attributes, analytic tasks, and Vega-Lite specifications.
    • Demonstrated through examples like rendering visualizations, chart editing, recreating widgets, and multimodal input.

    Main Results:

    • NL4DV successfully translates natural language queries into structured visualization specifications.
    • The toolkit enables rapid development of NLIs for various visualization tasks.
    • Four distinct use cases showcase its versatility in Jupyter notebooks and multimodal systems.

    Conclusions:

    • NL4DV empowers developers lacking NLP expertise to create effective natural language interfaces for data visualization.
    • The toolkit streamlines the process of integrating natural language interaction into visual analytic systems.
    • It broadens accessibility to sophisticated data visualization tools through intuitive natural language interaction.