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 …

Abstract Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a
taxonomic backbone that allows the arrangement and structuring of various concepts in …

Currently, Medical Subject Headings (MeSH) are manually assigned to every biomedical
article published and subsequently recorded in the PubMed database to facilitate retrieving …

Biomedical entity normalization unifies the language across biomedical experiments and
studies, and further enables us to obtain a holistic view of life sciences. Current approaches …

In the expansion of biomedical dataset, the same category may be labeled with different
terms, thus being tedious and onerous to curate these terms. Therefore, automatically …

Biomedical entity linking, which aligns various disease mentions in unstructured documents
to their corresponding standardized entities in a knowledge base (KB), is an essential task in …

Disease name normalization is an important task in the medical domain. It classifies disease
names written in various formats into standardized names, serving as a fundamental …

Named entity recognition is one of the pre-processing tasks in natural language processing,
aiming at identifying desired entities and types from unstructured text, and is used in many …

The vast majority of the existing approaches for taxonomy enrichment apply word
embeddings as they have proven to accumulate contexts (in a broad sense) extracted from …

The vast majority of the existing approaches for taxonomy enrichment apply word
embeddings as they have proven to accumulate contexts (in a broad sense) extracted from …