Noise reduction in BERT NER models for clinical entity extraction

The project addresses a specific technical hurdle (precision in clinical NER) within a established architecture (BERT). While it references an academic paper, the lack of stars and community engagement suggests it is currently a niche research artifact. Frontier labs are moving toward LLMs for these tasks, but specialized encoder optimizations remain relevant for high-throughput, low-latency clinical deployments where hallucination is a dealbreaker.