Static extractors work from a fixed view of a domain, so they miss language that appears after that snapshot. In medical, legal, HR, and enterprise settings, taxonomies drift and new entities and relations show up before teams can build clean training data. Systems that accumulate and reuse domain knowledge during operation can adapt without an expensive retraining cycle.
