Issues in realizing the overall message of a bar chart
Şeniz Demir, Sandra Carberry, Stephanie Elzer · Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory · 2009
Information graphics, such as bar charts and line graphs, that appear in popular media generally have a message that they are intended to convey. We have developed a Bayesian network that recognizes the overall message of a bar chart and produces the logical representation of that message. However, the realization of a logical representation in natural language requires constructing referents for certain graphical elements. This chapter presents our solution to one aspect of this problem: identifying an appropriate referent for the dependent axis. An evaluation study validates our methodology and shows that it is much better than several baseline strategies.