Document classification and interpretation through the inference of logic-based models
Research and Advanced Technology for Digital Libraries: 5th European …, 2001•Springer
We present a methodology for document processing that exploits logic-based machine
learning techniques. Our claim is that information capture and indexing can profit by the
identification of the document class and of specific function of its single layout components.
Indeed, the application of incremental and multistrategy machine learning techniques, rather
than the classic ones, allows for an efficient solution to the problem of information capture.
learning techniques. Our claim is that information capture and indexing can profit by the
identification of the document class and of specific function of its single layout components.
Indeed, the application of incremental and multistrategy machine learning techniques, rather
than the classic ones, allows for an efficient solution to the problem of information capture.
Abstract
We present a methodology for document processing that exploits logic-based machine learning techniques. Our claim is that information capture and indexing can profit by the identification of the document class and of specific function of its single layout components. Indeed, the application of incremental and multistrategy machine learning techniques, rather than the classic ones, allows for an efficient solution to the problem of information capture.
Springer
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