Problem
Scenario
You are working on an NLP system that needs to extract structure from unstructured text or discover themes in a document collection. Depending on the use case, you may need a supervised sequence labeling approach or an unsupervised topic discovery workflow.
Question
How do you approach named entity recognition or topic modeling?
What This Tests
- Choosing between supervised NER and unsupervised topic modeling
- Tokenization choices for domain-specific text
- Practical preprocessing and model selection
- Task-appropriate evaluation, especially F1 for NER
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