Drug and Chemical Compound Named Entity Recognition using Convolutional Networks

As biomedical literature continues to grow at an explosive rate, researchers are unable to process the vast amounts of information generated by one another. In order to account for this, text mining and information extraction systems have been developed in order to help researchers find information that is relevant to their respective research. However, text mining systems have also been developed to infer new knowledge, and further biological understanding. Examples include inferring proteinprotein interactions, and gene-disease interactions, from publicly available literature in order to further the understanding of systems biology, and ultimately, to better combat disease (Krallinger et al. 2010).