Recently, both researchers and practitioners have explored the possibility of semantically
annotating large and continuously evolving collections of biomedical texts such as research …

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 …

More than 80% of biomedical data is embedded in plain text. The unstructured nature of
these text-based documents makes it challenging to easily browse and query the data of …

Abstract The National Center for Biomedical Ontology (NCBO) is developing a system for
automated, ontology-based access to online biomedical resources. The system's indexing …

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 …

A wealth of knowledge valuable to the translational research scientist is contained within the
vast biomedical literature, but this knowledge is typically in the form of natural language …

Objective To create a multilingual gold-standard corpus for biomedical concept recognition.
Materials and methods We selected text units from different parallel corpora (Medline …

We present our concept-annotation guidelines for an large multi-institutional effort to create
a gold-standard manually annotated corpus of full-text biomedical journal articles. We are …

Information processing algorithms require significant amounts of annotated data for training
and testing. The availability of such data is often hindered by the complexity and high cost of …

The annotation of entities with concepts from standardized terminologies and ontologies is
of high importance in the life sciences to enhance semantic interoperability, information …