One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …

With biomedical literature increasing at a rate of several thousand papers per week, it is
impossible to keep abreast of all developments; therefore, automated means to manage the …

Abstract Most Reading Comprehension methods limit themselves to queries which can be
answered using a single sentence, paragraph, or document. Enabling models to combine …

This book offers a highly accessible introduction to natural language processing, the field
that supports a variety of language technologies, from predictive text and email filtering to …

The problem of detecting whether two behavioral constructs reference the same real-world
phenomenon has existed for over 100 years. Discordant naming of constructs is here termed …

Background Lately, there has been a great interest in the application of information
extraction methods to the biomedical domain, in particular, to the extraction of relationships …

Abstract Background Advanced Text Mining (TM) such as semantic enrichment of papers,
event or relation extraction, and intelligent Question Answering have increasingly attracted …

Background Automated extraction of protein-protein interactions (PPI) is an important and
widely studied task in biomedical text mining. We propose a graph kernel based approach …

It is now almost 15 years since the publication of the first paper on text mining in the
genomics domain, and decades since the first paper on text mining in the medical domain …

Exponential growth of the peer-reviewed literature and the breakdown of disciplinary
boundaries heralded by genome-scale instruments have made it harder than ever for …