Named Entity Recognition (NER) is one of the key tasks in natural language processing (NLP), especially within the biomedical domain, which is complex and filled with specific terminologies. This research focuses on the application of a Clinical Named Entity Recognition model to extract biomedical entities from three datasets: BC2GM, JNLPBA, and NCBI-Disease. Several BERT-based model approaches…