The biomedical literature is growing rapidly, and the extraction of meaningful information
from the large amount of literature is increasingly important. Biomedical named entity …

Motivation Annotation tools are applied to build training and test corpora, which are
essential for the development and evaluation of new natural language processing …

Motivation Text mining has become an important tool for biomedical research. The most
fundamental text-mining task is the recognition of biomedical named entities (NER), such as …

Named entity recognition (NER) is an important step in biomedical information extraction
pipelines. Tools for NER should be easy to use, cover multiple entity types, be highly …

Background Finding biomedical named entities is one of the most essential tasks in
biomedical text mining. Recently, deep learning-based approaches have been applied to …

Motivation The explosive increase of biomedical literature has made information extraction
an increasingly important tool for biomedical research. A fundamental task is the recognition …

Objectives: To summarise current research that takes advantage of “Big Data” in health and
biomedical informatics applications. Methods: Survey of trends in this work, and exploration …

Motivation Automatic biomedical named entity recognition (BioNER) is a key task in
biomedical information extraction. For some time, state-of-the-art BioNER has been …

The practice of precision medicine will ultimately require databases of genes and mutations
for healthcare providers to reference in order to understand the clinical implications of each …

Abstract Background Natural Language Processing (NLP) has been shown effective to
analyze the content of radiology reports and identify diagnosis or patient characteristics. We …