You are building an NLP pipeline for an enterprise document intake system. Incoming files include invoices, contracts, purchase orders, and compliance forms, and the first step is to route each document to the right downstream workflow. The text is noisy, with OCR errors, headers, footers, and repeated boilerplate, so simple keyword rules do not hold up well.
How would you design a solution for document processing with NLP?
You are building an NLP pipeline for an enterprise document intake system. Incoming files include invoices, contracts, purchase orders, and compliance forms, and the first step is to route each document to the right downstream workflow. The text is noisy, with OCR errors, headers, footers, and repeated boilerplate, so simple keyword rules do not hold up well.
How would you design a solution for document processing with NLP?
