The abundance and unstructured nature of biomedical texts, be it clinical or research
content, impose significant challenges for the effective and efficient use of information and …

Background Our group has developed a useful shared software framework for performing,
versioning, sharing and viewing Web annotations of a number of kinds, using an open …

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 …

The National Center for Biomedical Ontology Annotator is an ontology-based web service
for annotation of textual biomedical data with biomedical ontology concepts. The biomedical …

Motivation Biomedical literature is one of the most relevant sources of information for
knowledge mining in the field of Bioinformatics. In spite of English being the most widely …

Background There is currently a gap between the rich and expressive collection of
published biomedical ontologies, and the natural language expression of biomedical papers …

Abstract Background Semantic annotators and Natural Language Processing (NLP)
methods for Named Entity Recognition and Linking (NER+ L) require plenty of training and …

The range of publicly available biomedical data is enormous and is expanding fast. This
expansion means that researchers now face a hurdle to extracting the data they need from …

Background Semantic relations increasingly underpin biomedical text mining and
knowledge discovery applications. The success of such practical applications crucially …

Background Despite a wide adoption of English in science, a significant amount of
biomedical data are produced in other languages, such as French. Yet a majority of natural …