An overview of biomedical entity linking throughout the years
An overview of biomedical entity linking throughout the years
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DOI：
10.1016/j.jbi.2022.104252
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发表时间：
2022-12-09
影响因子：
4.5
通讯作者：
McInnes，Bridget T.
中科院分区：
文献类型：
--
作者：
French，Evan;McInnes，Bridget T.
生物医学实体链接 (BEL) 是将生物医学文档中的文本范围映射到本体中标准化的唯一标识符的任务。对于翻译信息提取应用程序和为关系提取等下游任务提供上下文，这是自然语言处理中的一项重要任务。在本文中，我们将调查 BEL 从 80 年代末诞生到当今最先进系统的进展，提供可用于训练 BEL 系统的数据集的完整列表，参考专注于 BEL 的共享任务，讨论组成 BEL 系统的技术组件，并讨论该领域未来的可能方向。
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.