Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

We present the results of the BioCreative II. 5 evaluation in association with the FEBS Letters
experiment, where authors created Structured Digital Abstracts to capture information about …

The automatic extraction of chemical information from text requires the recognition of
chemical entity mentions as one of its key steps. When develo** supervised named entity …

This issue of JAMIA focuses on natural language processing (NLP) techniques for clinical-
text information extraction. Several articles are offshoots of the yearly 'Informatics for …

Motivation: Understanding the role of genetics in diseases is one of the most important aims
of the biological sciences. The completion of the Human Genome Project has led to a rapid …

Background: The biomedical literature is the primary information source for manual protein-
protein interaction annotations. Text-mining systems have been implemented to extract …

A vast amount of scientific information is encoded in natural language text, and the quantity
of such text has become so great that it is no longer economically feasible to have a human …

Background Determining usefulness of biomedical text mining systems requires realistic
task definition and data selection criteria without artificial constraints, measuring …

Abstract Systems able to detect and normalize symptom mentions from clinical texts are
crucial for healthcare data mining, AI applied to clinical systems, medical analytics and …

This tutorial is intended for biologists and computational biologists interested in adding text
mining tools to their bioinformatics toolbox. As an illustrative example, the tutorial examines …