RT Journal Article SR Electronic T1 Real-time tagging of biomedical entities JF bioRxiv FD Cold Spring Harbor Laboratory SP 078469 DO 10.1101/078469 A1 Evangelos Pafilis A1 Lars Juhl Jensen YR 2016 UL http://biorxiv.org/content/early/2016/09/30/078469.abstract AB 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.