Author： ESPOSITO FLORIANA FERILLI STEFANO FANIZZI NICOLA BASILE TERESA M. A. DI MAURO NICOLA
Publisher： Taylor & Francis Ltd
ISSN： 1087-6545
Source： Applied Artificial Intelligence, Vol.17, Iss.8-9, 2003-09, pp. : 859-883
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Abstract
This work presents the application of a multistrategy approach to some document processing tasks. The application is implemented in an enhanced version of the incremental learning system INTHELEX. This learning module has been embedded as a learning component in the system architecture of the EU project COLLATE, which deals with the annotation of cultural heritage documents. Indeed, the complex shape of the material handled in the project has suggested that the addition of multistrategy capabilities is needed to improve effectiveness and efficiency of the learning process. Results proving the benefits of these strategies in specific classfication tasks are reported in the experimentation presented in this work.
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