Learning the Document - Web Verifier - Foundation 23.1 - Foundation 23.1 - Brainware - external

Brainware Intelligent Capture Web Verifier

Web Verifier
Foundation 23.1

After table learning and validation are complete, you may want to add this document to the learnset and then learn it. This is known as “cross-document” learning, in contrast with “in-document” interactive Brainware Table Extraction learning.

If you want to learn a document that the system did not automatically learn (the Add Current Document to local learnset button is not cleared), you can activate learning by clicking Add Current Document to Local Learnset.
Note: The only requirement for cross-document learning is correctness and completeness of the table data to train. This means that location and content of every cell item should be correct. Also, ideally, the content of cell items should not be formatted.