A number of biomedical text mining systems have been developed to extract biologically
relevant information directly from the literature, complementing bioinformatics methods in the …

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

The most important way of conveying new findings in biomedical research is scientific
publication. Extraction of protein–protein interactions (PPIs) reported in scientific …

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

Abstract Background We report the Gene Normalization (GN) challenge in BioCreative III
where participating teams were asked to return a ranked list of identifiers of the genes …

This thesis proposes a robust, hybrid, deep-syntatic dependency-based parsing architecture
and presents its implementation and evaluation. The architecture and the implementation …

Background This article describes a high-recall, high-precision approach for the extraction of
biomedical entities from scientific articles. Method The approach uses a two-stage pipeline …

Background We present a text-mining tool for recognizing biomedical entities in scientific
literature. OGER++ is a hybrid system for named entity recognition and concept recognition …

We describe a system for the detection of mentions of protein-protein interactions in the
biomedical scientific literature. The original system was developed as a part of the …

BioCreative: Critical Assessment of Information Extraction in Biology is an international
community-wide effort for evaluating text mining (TM) and information extraction systems …