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Current systems for automatic extraction of index terms from business documents either take a rule-based or training-based approach. As both approaches have their advantages and disadvantages it seems natural to combine both methods to get the best of both worlds. We present a combination method with the steps selection, normalization, and combination based(More)
Automatically processing production documents requires document type detection as well as data capture to find appropriate index data from a post-OCR representation of the document. While current learning-based methods perform quite well due to many similar documents created with the same template, their machine learning models require intense training and(More)
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