An overview of biomedical entity linking throughout the years.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 36464228.
- Also identified by DOI 10.1016/j.jbi.2022.104252 and PMC identifier 9845184.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Biomedical Entity Linking (BEL) is the task of mapping of spans of text within biomedical documents to normalized, unique identifiers within an ontology. This is an important task in natural language processing for both translational information extraction applications and providing context for downstream tasks like relationship extraction. In this paper, we will survey the progression of BEL from its inception in the late 80s to present day state of the art systems, provide a comprehensive list of datasets available for training BEL systems, reference shared tasks focused on BEL, discuss the technical components that comprise BEL systems, and discuss possible directions for the future of the field.
Medical subject headings
- Data Mining
- Text Messaging