Title :
Automated acquisition of rules for document understanding
Author :
Esposito, Floriana ; Malerba, Donato ; Semeraro, Giovanni
Author_Institution :
Dipartimento di Inf., Univ. degli Studi, Bari, Italy
Abstract :
A study on the possibility of adopting a supervised inductive learning approach to the problem of document understanding is presented. A representation language used to describe a page layout is introduced and the opportunity of extending such a language by means of intentionally defined predicates is discussed. Experimental results obtained by using a well-known learning system, FOCL, are presented. They confirm the exigency of redefining the problem of document understanding in terms of a new strategy of supervised inductive learning, called contextual learning. Some experiments in which a dependence hierarchy between concepts is defined show that contextual rules increase predictive accuracy and decrease learning time for labeling problems like document understanding
Keywords :
document handling; document image processing; learning (artificial intelligence); learning systems; FOCL; contextual learning; contextual rules; dependence hierarchy; document understanding; intentionally defined predicates; labeling problems; learning time; page layout; predictive accuracy; representation language; rule acquisition; supervised inductive learning; well-known learning system; Accuracy; Character recognition; Companies; Expert systems; Face recognition; Labeling; Learning systems; Management training; Testing; Virtual manufacturing;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395653