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- W4311903220 endingPage "104252" @default.
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- W4311903220 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." @default.
- W4311903220 created "2023-01-02" @default.
- W4311903220 creator A5036154359 @default.
- W4311903220 creator A5083901654 @default.
- W4311903220 date "2023-01-01" @default.
- W4311903220 modified "2023-10-18" @default.
- W4311903220 title "An overview of biomedical entity linking throughout the years" @default.
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- W4311903220 doi "https://doi.org/10.1016/j.jbi.2022.104252" @default.
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- W4311903220 hasPublicationYear "2023" @default.
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