A Bayesian network approach to semantic labelling of text formatting in XML corpora of documents

Authors:
Florendia Fourli-Kartsouni;Kostas Slavakis;Georgios Kouroupetroglou;Sergios Theodoridis
Affiliations:
Department of Informatics and Telecommunications, University of Athens, Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Athens, Greece
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Year:
2007

Citing 4
Cited 2

Syntactic Segmentation and Labeling of Digitized Pages from Technical Journals

IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Networks Classifiers Applied to Documents

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Logical Labeling Using Bayesien Networks

ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Pattern Recognition, Third Edition

Pattern Recognition, Third Edition

Accessibility of board and presentations in the classroom: a design-for-all approach

Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
Modeling reader's emotional state response on document's typographic elements

Advances in Human-Computer Interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

The wide-spread applications of document digitization have lead to the use of structured digital representation methods such as the XML language. Extraction methodologies for the formatting metadata can be used on such structured documents for enhancing their accessibility, including augmented audio representation of documents. To the best of our knowledge, an effort has yet to be made to produce an automatic extraction system of semantic information of the document formatting, solely from document layout, without the use of natural language processing. In this study a corpus of XML representations of several issues of a Greek newspaper is used in order to create and evaluate a semantic classifier of text formatting, based on Bayesian Networks.