Kofax Getting Started with Ascent Xtrata Pro - Manual (Page 77)

Chapter 3
58 Ascent Xtrata Pro User's Guide
Prohibiting the class from becoming the classification result might be useful for
classes that are inserted as base classes for the sole purpose of defining common
fields and common extraction methods.
If a class meets the classification criteria but is prohibited from becoming the
classification result, its parent (if there is one) will be used as the classification
result. If there is no parent, the document will not be classified.
Visible in validation
In addition to showing the classification results for documents, the Ascent Xtrata
Pro Validation form also has a list of classes that validation operators can use to
assign a class. If “Visible in validation” is selected (which is the default), the class
name will be included in the list. Otherwise, the class name will be excluded
from the list and the operator will not be able to assign it as the classification
result.
Note
In case a document is classified to a ‘non-visible’ class, then this class will
appear in the drop down list of classes for this document.
Extract this class with external server
If this option is selected (by default, it is not selected), Ascent Xtrata Pro Server
performs extraction for the class, but does not save the field results in Ascent
Capture.
This might be useful if you want to use the extraction results from the Ascent
Capture Recognition Server module, rather than Ascent Xtrata Pro Server. The
only requirement is that the class name must exactly match the name of the
associated form type in Ascent Capture.
During publishing, a warning is shown if the project contains a class for which
extraction is performed by a server other than Ascent Xtrata Pro Server.
Warning
If you are using an external server, it is recommended that you not use
Ascent Xtrata Pro Validation
Subtree Classification
Enable subtree classification
If this option is checked, and this class is a valid classification result, then a
second classification step will be started for the complete child class tree using
the confidence and distance values defined for the subtree classification.
Furthermore, hierarchical rules, such as “single child wins over parent” will be
applied. This additional step is called subtree classification.