When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?
When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?
When dealing with a document type that comes in a high variety of layouts, hybrid data extraction is the most recommended methodology. This approach combines the strengths of both model-based and rule-based extractions, leveraging machine learning to handle the variability in layouts while using rules to ensure precision and accuracy where applicable. This combination provides a balanced solution that can adapt to different layouts effectively.
Hybrid approach
A hybrid approach would be more approriate since the layouts can have a high number of varieties. https://www.uipath.com/blog/ai/improved-document-processing
I think it is A, one document types varies greatly. Here is the uipath definition. The ML approach is strongly recommended for structured or semi-structured documents in which layouts of different document providers vary greatly
At first, I thought it was A, but I put the question on ChatGPT and it gave me a detailed explanation of why it is B.
Hybrid
It should be model based as rule based is used for structured formats. Any layout change in the format will require reconfiguration so rule based doesn't fir here.