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Real-time tagging of biomedical entities

Evangelos Pafilis, Lars Juhl Jensen
doi: https://doi.org/10.1101/078469
Evangelos Pafilis
1Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, Crete, Greece.
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Lars Juhl Jensen
2Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Abstract

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.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 30, 2016.
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Real-time tagging of biomedical entities
Evangelos Pafilis, Lars Juhl Jensen
bioRxiv 078469; doi: https://doi.org/10.1101/078469
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Real-time tagging of biomedical entities
Evangelos Pafilis, Lars Juhl Jensen
bioRxiv 078469; doi: https://doi.org/10.1101/078469

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