---
title: "A Probabilistic Framework for Recognizing Intention in Information Graphics"
authors:
  - "Stephanie Elzer"
  - "Sandra Carberry"
  - "Ingrid Zukerman"
  - "Daniel Chester"
  - "Nancy L. Green"
  - "Seniz Demir"
doi: ""
url: "https://ijcai.org/proceedings/2005/46"
pdf: "https://ijcai.org/proceedings/2005/0046.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1042-1046"
track: ""
keywords:
---

# A Probabilistic Framework for Recognizing Intention in Information Graphics

Stephanie Elzer, Sandra Carberry, Ingrid Zukerman, Daniel Chester, Nancy L. Green, Seniz Demir

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1042-1046.

## Abstract

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.