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Towards retrieving relevant information graphics
TLDR
This paper presents the first steps toward a system for retrieving bar charts and line graphs that reasons about the content of the graphic itself in deciding its relevance to the user query, and achieves accuracy higher than 80\% on a corpus of collected user queries.
Towards Finding Relevant Information Graphics: Identifying the Independent and Dependent Axis from User-Written Queries
TLDR
This work aims to identify, from a full sentence user query, what should be depicted on the independent and dependent axes of potentially relevant graphs, and to build a model for hypothesizing the content of the axes.
EXAMINING INFORMATION-GRAPHICS: EXTRACTING IMPORTANT INFORMATION FROM USER-WRITTEN QUERIES TO HELP DEVELOP AN EFFECTIVE RETRIEVAL SYSTEM
TLDR
This research attempts to analyze a user’s query to identify the content of the independent and dependent axes of graphs that might be relevant to the query and to identifies the kind of high-level message that would be conveyed by relevant graphs.