- How can you increase the rate of automatic classifications (less unknowns) for unstructured documents without sacrificing their reliability level?
a/ By lowering the confidence level of the classifier
b/ By training the classifier manually in the validation step during the actual operation of the robot.
- How can you improve the reliability of the automation (less errors)without sacrificing the operational costs (efficiency)?
a/ Use manual validation for all automatic classifications
b/ Raise the automatic confidence level of classifications
c/ Build verification automation for checking the extractions from other systems (ERP, CRM etc)
d/ Fix the classifier/extractor rules manually based on erroneous classifications
I would also appreciate if, in addition to the answers, you can provide links to resources where I can study this particular topic in more detail.