A Probabilistic Framework for Recognizing Intention in Information Graphics
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.
Cite
Text
Elzer et al. "A Probabilistic Framework for Recognizing Intention in Information Graphics." International Joint Conference on Artificial Intelligence, 2005.Markdown
[Elzer et al. "A Probabilistic Framework for Recognizing Intention in Information Graphics." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/elzer2005ijcai-probabilistic/)BibTeX
@inproceedings{elzer2005ijcai-probabilistic,
title = {{A Probabilistic Framework for Recognizing Intention in Information Graphics}},
author = {Elzer, Stephanie and Carberry, Sandra and Zukerman, Ingrid and Chester, Daniel and Green, Nancy L. and Demir, Seniz},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2005},
pages = {1042-1047},
url = {https://mlanthology.org/ijcai/2005/elzer2005ijcai-probabilistic/}
}