Hello @Mani Wadhwa
Thank you for the patience. I just got confirmation from the pm of Form Recognizer, the function of Entity Extraction is actually leveraging the NER of Language Service:
https://learn.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/concept-general-document#entities
To answer your question clear:
Is New Document Analysis(Entities Extraction) API in Azure Form Recognizer based upon NER in Cognitive? The Entity Extraction function of FR is leveraging NER of Language Service.
Is the algorithm behind Entities Extraction the same in Form Recognizer and NER? Sure.
Which seems to be better when it comes to entity recognition - Form Recognizer or NER in Cognitive? Is there any documentation available explaining the difference between these two choices?
The functions itself are the same, so to choose the right product, it depends on your scenario. If you are doing form analysis, it's clear Form Recognizer will be better since it integrate a lot of functions to under the table.
Why entity recognition feature is introduced in Form Recognizer when there was already a somewhat similar service available in form of NER in Cognitive?
The feature is leveraged from Language Service for Form Recognition scenario, we want our customers who is focusing on forms can accomplish their workflow in one place.
Hope this helps!
Regards,
Yutong
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