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First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation
Palo Alto, California
January 23-January 24
ISBN: 0-7695-2088-X
ASCII Text
x 
 
F. Esposito, D. Malerba, G. Semeraro, S. Ferilli, O. Altamura, T. M. A. Basile, M. Berardi, M. Ceci, N. Di Mauro, "Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation," Document Image Analysis for Libraries, International Workshop on, pp. 328, First International Workshop on Document Image Analysis for Libraries (DIAL'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/DIAL.2004.1263262,
author = {F. Esposito and D. Malerba and G. Semeraro and S. Ferilli and O. Altamura and T. M. A. Basile and M. Berardi and M. Ceci and N. Di Mauro},
title = {Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation},
journal ={Document Image Analysis for Libraries, International Workshop on},
volume = {0},
year = {2004},
isbn = {0-7695-2088-X},
pages = {328},
doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2004.1263262},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Image Analysis for Libraries, International Workshop on
TI - Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation
SN - 0-7695-2088-X
SP
EP
A1 - F. Esposito,
A1 - D. Malerba,
A1 - G. Semeraro,
A1 - S. Ferilli,
A1 - O. Altamura,
A1 - T. M. A. Basile,
A1 - M. Berardi,
A1 - M. Ceci,
A1 - N. Di Mauro,
PY - 2004
KW - null
VL - 0
JA - Document Image Analysis for Libraries, International Workshop on
ER -
 
F. Esposito, Universit? di Bari
D. Malerba, Universit? di Bari
G. Semeraro, Universit? di Bari
S. Ferilli, Universit? di Bari
O. Altamura, Universit? di Bari
T. M. A. Basile, Universit? di Bari
M. Berardi, Universit? di Bari
M. Ceci, Universit? di Bari
N. Di Mauro, Universit? di Bari
One of the aims of the EU project COLLATE is to design and implement a Web-based collaboratory for archives, scientists and end-users working with digitized cultural material. Since the originals of such a material are often unique and scattered in various archives, severe problems arise for their wide fruition. A solution would be to develop intelligent document processing tools that automatically transform printed documents into a web-accessible form such as XML. Here, we propose the use of a document processing system, WISDOM++, which uses heavily machine learning techniques in order to perform such a task, and report promising results obtained in preliminary experiments.
Citation:
F. Esposito, D. Malerba, G. Semeraro, S. Ferilli, O. Altamura, T. M. A. Basile, M. Berardi, M. Ceci, N. Di Mauro, "Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation," dial, pp.328, First International Workshop on Document Image Analysis for Libraries (DIAL'04), 2004
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