UncertaintyVis: Preserving Linguistic Uncertainty in Automated Text-to-Chart Generation
Data-rich documents pair narrative text with quantitative claims, and authors routinely qualify those claims with linguistic uncertainty markers such as"nearly,""approximately,"or"at least."Automated text-to-chart systems discard these markers, producing visualizations that appear definitive even when the source text e...