Document Understanding Classification - Consolidated Classifier Task

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1

Hi,

I have an accountancy Purchase Ledger DU project up and running that is successful with currently one classification and one validation task per invoice.

As time has gone on, the realisation that there are now some extra data input values needed alongside all the original ones.

These extra data input values are not directly available from the invoices. However there are patterns of invoices that would allow an element of training to perhaps predict the right ones over time.

So i cant add them on the validation task, as they will not train up, they are not linked to any direct value.

I can add them as classification tasks and use keyword clasiifier to build a taxonomy on each one.

I however already have one clasifier task for the type of invoice.

If also wanted say 5 other separate classifiers.
Is this invoice require a value for column A? if so choose from the dropdown of options for this column and build a keyword classifier training for this particular column data that isnt directly shown on the invoice.
Is this invoice require a value for column B? if so choose from the dropdown of options for this column and build a keyword classifier training for this particular column data that isnt directly shown on the invoice
Is this invoice require a value for column C? if so choose from the dropdown of options etc etc

I have 6 separate classifications and i do not wish to create 6 separate classification actions.

I could use a task form for all on one task but there is no background training or learning from keywords

I could add them to the validation task but there is no real background training or learning from keywords.

Can i consolidate all of them into one classification task with multiple separate training taxonomies and if so? how?

How tricky is it to also add in quite a big redesign of brining in extra classification actions for an existing dataset and labelling session whilst retaining all previously learnt training? whether 5 extra independant classifier tasks or one consolidated one if possible?

Any advice welcome

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