You are building an enterprise application that needs to identify important entities from unstructured business text such as contracts, support tickets, emails, and case notes. The goal is to turn raw text into structured fields that downstream systems can search, route, redact, or analyze. You may need to handle domain-specific entities like customer names, account IDs, product names, legal terms, or dates that are not captured well by a generic model.
How would you use named entity recognition in an enterprise application?
Applying named entity recognition to enterprise textTokenization and span-label alignment for BIO taggingFine-tuning a transformer token-classification modelEvaluating NER with entity-level F1