We describe a system which is capable of learning the presentation of document logical structures, exemplarily shown for business letters. Presenting a set of instances to the system, it clusters them into structural concepts and induces a concept hierarchy. This concept hierarchy is taken as a source for classifying future input. The paper introduces the different learning steps, describes how the resulting concept hierarchy is applied for logical labeling and reports on the results.
Clustering and classification of document structure-a machine learning approach
Proceedings of 3rd International Conference on Document Analysis and Recognition ; 2 ; 587-591 vol.2
01.01.1995
532600 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Clustering and Classification of Document Structure - A Machine Learning Approach
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