Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …

This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …

Abstract Biomedical Entity Linking (BM-EL) task, which aims to match biomedical mentions
in articles to entities in a certain knowledge base (eg, the Unified Medical Language …

Due to large number of entities in biomedical knowledge bases, only a small fraction of
entities have corresponding labelled training data. This necessitates entity linking models …

A challenge for named entity disambiguation (NED), the task of mapping textual mentions to
entities in a knowledge base, is how to disambiguate entities that appear rarely in the …

摘要随着互联网技术的不断迭代更新, 对海量数据的语义理解变得越来越重要.
知识图谱是一种揭示实体之间关系的语义网络, 医学是知识图谱应用较广的垂直领域之一 …

Biomedical entity linking is the task of identifying mentions of biomedical concepts in text
documents and mapping them to canonical entities in a target thesaurus. Recent …

Motivation Clinical trials are the essential stage of every drug development program for the
treatment to become available to patients. Despite the importance of well-structured clinical …

Entity linking, which aims at aligning ambiguous entity mentions to their referent entities in a
knowledge base, plays a key role in multiple natural language processing tasks. Recently …

Biomedical entity linking aims to map mentions in biomedical text to standardized concepts
or entities in a curated knowledge base (KB) such as Unified Medical Language System …