AAAI Publications, The Twenty-Seventh International Flairs Conference

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Analyzing the Effect of Communicative Evidence in a Bayesian System for Grouped Bar Chart Message Recognition
Richard Burns, Sandra Carberry, Stephanie Elzer Schwartz

Last modified: 2014-05-03

Abstract


Information graphics, such as bar charts and line graphs, generally have a communicative message that they are intended to convey when they appear in popular media. The communicative signals present or absent in the graphic help convey these underlying intended messages. We have designed a Bayesian system that automatically extracts communicative signals from a grouped bar chart information graphic to hypothesize its intended messages. This paper presents experiments that analyze the effect that each type of communicative evidence has on our system.

Keywords


information graphics; Bayesian network; communicative evidence

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