TY - JOUR T1 - Real-time tagging of biomedical entities JF - bioRxiv DO - 10.1101/078469 SP - 078469 AU - Evangelos Pafilis AU - Lars Juhl Jensen Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/09/30/078469.abstract N2 - Automatic annotation of text is an important complement to manual annotation, because the latter is highly labor intensive. We have developed a fast dictionary-based named entity recognition system, which is used for both real-time and bulk processing of text in a variety of biomedical web resources. We propose to adapt the system to make it interoperable with the PubAnnotation and Open Annotation standards. ER -