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. 2015 Jan 19;7(Suppl 1):S6. doi: 10.1186/1758-2946-7-S1-S6

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Copyright © 2015 Batista-Navarro et al.; licensee Springer.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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The chemical entity recogniser in Argo. The proposed chemical entity recogniser is available as a processing component in the Web-based, text mining workbench Argo. The component is shown here as part of two individual workflows. The left-hand-side workflow produces an RDF file containing annotated chemicals in user-specified PubMed abstracts. The right-hand-side workflow reports effectiveness metrics for the CHEMDNER corpus.