Background An increase in work on the full text of journal articles and the growth of
PubMedCentral have the opportunity to create a major paradigm shift in how biomedical text …

Most pharmacogenomics knowledge is contained in the text of published studies, and is
thus not available for automated computation. Natural Language Processing (NLP) …

The significant increase in the number of journal paper submissions/publications in the last
decades has been paralleled by a shift to (mainly) on-line publication and digital archiving of …

Background For selection and evaluation of potential biomarkers, inclusion of already
published information is of utmost importance. In spite of significant advancements in text …

Text mining for translational bioinformatics is a new field with tremendous research potential.
It is a subfield of biomedical natural language processing that concerns itself directly with the …

Antibiotic resistance event extraction involves the automated extraction of information
related to antibiotic resistance mechanisms from a vast amount of biomedical literature. This …

Advances in concept recognition and natural language parsing have led to the development
of various tools that enable the identification of biomedical entities and relationships …

Named entity disambiguation concerns linking a potentially ambiguous mention of named
entity in text to an unambiguous identifier in a standard database. One approach to this task …

With the increasing amount of published articles in the biomedical domain, text mining has
emerged as a significant research area to extract biologically crucial information such as …