A Probabilistic Framework for Recognizing Intention in Information Graphics

被引:0
|
作者
Elzer, Stephanie [1 ]
Carberry, Sandra [1 ]
Zukerman, Ingrid [1 ]
Chester, Daniel [1 ]
Green, Nancy [1 ]
Demir, Seniz [1 ]
机构
[1] Millersville Univ Pennsylvania, Dept Comp Sci, Millersville, PA 17551 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper extends language understanding and plan inference to information graphics. We identify the kinds of communicative signals that appear in information graphics, describe how we utilize them in a Bayesian network that hypothesizes the graphic's intended message, and discuss the performance of our implemented system. This work is part of a larger project aimed at making information graphics accessible to individuals with sight impairments.
引用
收藏
页码:1042 / 1047
页数:6
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