Addressing Span Imbalance and Semantic Complexity in Nested Medical Named Entity Recognition
As a fundamental task in biomedical natural language processing, Medical Named Entity Recognition (MNER) aims to identify and classify medical entities from unstructured medical texts. A major challenge in this task is the prevalence of nested entities, which arise from the syntactic complexity and domain-specific char...