An overview of biomedical entity linking throughout the years

被引:18
|
作者
French, Evan [1 ]
McInnes, Bridget T. [1 ]
机构
[1] Virginia Commonwealth Univ, Dept Comp Sci, Richmond, VA 23284 USA
基金
美国国家科学基金会;
关键词
Natural language processing; Entity linking; Normalization; NORMALIZATION; RECOGNITION; CORPUS; TEXT; REPRESENTATIONS; ALGORITHMS;
D O I
10.1016/j.jbi.2022.104252
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:9
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