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

页码：1042 / 1047

页数：6

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