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
来源：
19TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-05) | 2005年
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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