Nearby in the stack

NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries · arXivDesk

2209.08834Sep 19, 20225 pages, IEEE Visualization Conference NLVIZ Workshop 2022

NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries

Yiru Chen, Ryan Li, Austin Mac, Tianbao Xie, Tao Yu, Eugene Wu

Human-Computer Interaction Artificial Intelligence Computation and Language Databases

Abstract

We develop NL2INTERFACE to explore the potential of generating usable interactive multi-visualization interfaces from natural language queries. With NL2INTERFACE, users can directly write natural language queries to automatically generate a fully interactive multi-visualization interface without any extra effort of learning a tool or programming language. Further, users can interact with the interfaces to easily transform the data and quickly see the results in the visualizations.

Briefing

What this paper is actually doing

This is a heuristic sketch from the abstract. Sign in for a live briefing.

GraduateNovelty 3/5

Researchers working in cs.HC and adjacent areas.

Claims

The paper addresses: NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries.
We develop NL2INTERFACE to explore the potential of generating usable interactive multi-visualization interfaces from natural language queries.

Methods

Method details are not extracted without an AI key — open the PDF or HTML version.
Author comment: 5 pages, IEEE Visualization Conference NLVIZ Workshop 2022