Your question is Parse Financial Reports with NLP. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are working on a system that needs to turn financial reports into structured data that downstream analytics and research tools can use. The reports contain dense prose, tables, footnotes, accounting terms, issuer names, dates, monetary values, and references to line items that may appear in different formats across documents. You need an NLP approach that can identify the important fields, normalize them, and preserve enough context for later validation.
How would you parse financial reports using natural language processing?