Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Data visualization is crucial in today's data-driven business world, which has been widely
used for helping decision making that is closely related to major revenues of many industrial …

General visualization tools typically require manual specification of views: analysts must
select data variables and then choose which transformations and visual encodings to apply …

Visual data analysis involves both open-ended and focused exploration. Manual chart
specification tools support question answering, but are often tedious for early-stage …

Data visualization is invaluable for explaining the significance of data to people who are
visually oriented. The central task of automatic data visualization is, given a dataset, to …

Recently, an increasing number of visualization systems have begun to incorporate natural
language generation (NLG) capabilities into their interfaces. NLG-based visualization …

Natural language interfaces (NLls) have shown great promise for visual data analysis,
allowing people to flexibly specify and interact with visualizations. However, developing …

Rapidly creating effective visualizations using expressive grammars is challenging for users
who have limited time and limited skills in statistics and data visualization. Even high-level …

Visual analytics enables us to analyze huge information spaces in order to support complex
decision making and data exploration. Humans play a central role in generating knowledge …

Visual analytics (VA) is typically applied in scenarios where complex data has to be
analyzed. Unfortunately, there is a natural correlation between the complexity of the data …