Title:
Exploring Natural Language to Visualization translation through conversational interaction
Exploring Natural Language to Visualization translation through conversational interaction
Author(s)
Mitra, Rishab
Advisor(s)
Stasko, John T.
Editor(s)
Collections
Supplementary to
Permanent Link
Abstract
Natural language interfaces (NLIs) have allowed users to explore and visualize data without much overhead in learning how to operate the interface for visual analy- sis. However, the state-of-the-art NLIs for visualization only support one-shot queries with minimal capability for follow-up queries, so users are unable to build upon previ- ous visualizations. We introduce the Conversational Interaction for Data Visualization (CI4DV) toolkit for developers, a toolkit for natural language to data visualization that takes in a natural language query and dataset as input and outputs a visualization speci- fication. CI4DV offers the additional capability to follow-up on previous visualizations, allowing developers to build NLIs on top of CI4DV that allow users the opportunity for conversational interaction with the NLI. We also propose two applications that are built upon CI4DV to demonstrate the toolkit’s capabilities and usage - an application that features an editable mind map and a Jupyter notebook with nested cells.
Sponsor
Date Issued
2021-12
Extent
Resource Type
Text
Resource Subtype
Undergraduate Thesis