Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

The rapid increase in the flow rate of published digital information in all disciplines has
resulted in a pressing need for techniques that can simplify the use of this information. The …

Motivation: The accurate identification of chemicals in text is important for many applications,
including computer-assisted reconstruction of metabolic networks or retrieval of information …

Motivation: From the scientific community, a lot of effort has been spent on the correct
identification of gene and protein names in text, while less effort has been spent on the …

A drug–drug interaction (DDI) occurs when one drug influences the level or activity of
another drug. Information Extraction (IE) techniques can provide health care professionals …

The DDIExtraction 2013 task in the SemEval conference concerns the detection of drug
names and statements of drug-drug interactions (DDI) from text. Extraction of DDIs is …

Studies on named entity recognition (NER) often require a substantial amount of human-
annotated training data. This makes technical domain-specific NER from industry data …

Semantic features are very important for machine learning-based drug name recognition
(DNR) systems. The semantic features used in most DNR systems are based on drug …

Background A drug-drug interaction (DDI) occurs when one drug influences the level or
activity of another drug. The increasing volume of the scientific literature overwhelms health …

Providing prior knowledge about biological properties of chemicals, such as kinetic values,
protein targets, or toxic effects, can facilitate many aspects of drug development. Chemical …