You can retrain the category when you need to

• Extract additional fields
• Add additional data cleansing rules
• Expand/reduce the area of extraction
• Change labels for a particular field
• Enable/disable toggles in table extraction
• Change parameters in table extraction

When the fields are not extracted and if the validation of those extracted fields fails, the status of the record is updated to MANUAL_INTERVENTION_VALIDATION_FAILED in the Post Processing task . You can re-familiarize the document to make the necessary changes to extract those fields.

1. Click the icon next to the required row with document status as MANUAL_INTERVERNTION_VALIDATION_FAILED, in the Document Table. The Document familiarization window opens.
2. Re-Familiarize the document with the changes.
3. Click the RETRAIN button in the Document Familiarization window to save the changes made.
4. Retrain document dialog box opens where you will have two options.
   1. Edit Existing: Select this option to edit the category without losing the previous training.
   2. Save as new: Select this option to train the document as new category.
5. Click Proceed button to override the changes and assign a new category.

• Existing category is overridden and previous category is inactivated.
• The documents which are approved already remain unchanged.
• All new documents will be processed based on the new category.

Pseudonym Management

If ML was unable to predict the field in the Document due to change in label, while refamiliarizing select the new label.
Next time, when processing same category document, the new label is recognised.
Pseudonym Management adds all the probable labels for the fields to be extracted as Pseudonyms to ensure the extraction process covers the probable labels too.

The labels Invoice#, Invoice No., INV Number are used to represent Invoice Number across the different Invoices. All of them must be added as Pseudonyms.

There are two ways to add Pseudonyms.

Add Pseudonyms for Document Table

1. Click the icon of the Document Table and select the Pseudonym Management option.
   The Pseudonym Management page displays Column Name, Pseudonyms, and category.
2. Click the icon against the Column Name for which you want to add or edit Pseudonyms.
3. In the Edit Pseudonyms field, type the values for the pseudonym and press enter.
4. Click the Save button.

All the pseudonyms that are added get recorded in the ML dictionary.

When a document of same category is processed, the field with labels matching any of the added Pseudonyms is automatically extracted.

The pseudonym Invoice n0: is added for the column Invoice Number in the Edit Pseudonym field.

If the document has label Invoice n0:, then the field value is automatically extracted as it has been added as a Pseudonym.

Add Pseudonyms while Refamiliarizing

If the status of the record is MANUAL_INTERVENTION_VALIDATION_FAILED , you can correct the fields by selecting the correct label from the PDF in the Document Familiarization window. The re-familiarized label is also added to the Pseudonym list and gets recorded in the ML dictionary.

In earlier familiarization, the label selected was PO No: and in the current document, the label is PO N0: because of which the field was not extracted and validation failed.

• Refamiliarize the document and select PO N0: in the current PDF.
• PO N0: gets added to the Pseudonym List and gets recorded in the ML dictionary.

When a document of same category is processed again, the field with PO N0: is automatically extracted.