Your question is Extract Companies and Tickers. 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 building an NLP pipeline that needs to identify company names and stock tickers from financial text such as news, research notes, and market commentary. Off the shelf NER often misses finance-specific forms like parenthetical tickers, exchange prefixes, aliases, and ambiguous uppercase symbols. You want a solution that can reliably tag both entity spans and map them into structured outputs for downstream use.
How would you handle named entity recognition for company and ticker extraction?