Objectives Biomedical natural language processing tools are increasingly being applied for
broad-coverage information extraction—extracting medical information of all types in a …

Entity linking is the task of linking mentions of named entities in natural language text, to
entities in a curated knowledge-base. This is of significant importance in the biomedical …

Mentions of new concepts appear regularly in texts and require automated approaches to
harvest and place them into Knowledge Bases (KB), eg, ontologies and taxonomies …

Many text-mining studies have focused on the issue of named entity recognition and
normalization, especially in the field of biomedical natural language processing. However …

Biomedical entity linking (EL) is the task of linking mentions in a biomedical document to
corresponding entities in a knowledge base (KB). The challenge in biomedical EL lies in …

Motivation: Entity linking is the task of linking entity mentions to the database entries
corresponding to the entity mentions. Entity linking enables the treatment of superficially …

Ever-expanding volumes of biomedical text require automated semantic annotation
techniques to curate and put to best use. An established field of research seeks to link …

Motivation: Anatomical entities ranging from subcellular structures to organ systems are
central to biomedical science, and mentions of these entities are essential to understanding …

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 …

Progress in the field of Natural Language Processing (NLP) has been closely followed by
applications in the medical domain. Recent advancements in Neural Language Models …