Clustering and classification of document structure-a machine learning approach

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.