You are working on an NLP pipeline that reads financial reports and extracts structured information from unstructured text. The documents contain company names, fund names, tickers, currencies, dates, percentages, and accounting terms, often mixed with tables, footnotes, and legal language. You want a model that can tag these entities consistently so the output can feed downstream search, analytics, or Aladdin workflows.
How would you identify named entities in financial reports?