ULisboa: Recognition and Normalization of Medical Concepts

ULisboa: Identification and Classification of Medical Concepts

Robust Benchmarking for Machine Learning of Clinical Entity Extraction

Clinical studies often require understanding elements of a patient's narrative that exist only in free text clinical notes. To transform notes into structured data for downstream use, these elements are commonly extracte…

End-to-end Biomedical Entity Linking with Span-based Dictionary Matching

Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining. Recently, neural joint learning of both tasks has been proposed to util…

Medical Concept Normalization in a Low-Resource Setting

In the field of biomedical natural language processing, medical concept normalization is a crucial task for accurately mapping mentions of concepts to a large knowledge base. However, this task becomes even more challeng…

BERN2: an advanced neural biomedical named entity recognition and normalization tool

In biomedical natural language processing, named entity recognition (NER) and named entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical entities (e.g. diseases and drugs) from the …