Getting More out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics.

Cunningham, H. orcid.org/0000-0001-5901-5483, Tablan, V., Roberts, A. et al. (1 more author) (2013) Getting More out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics. PLoS Computational Biology, 9 (2). e1002854. ISSN 1553-734X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2013 Cunningham et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Published: February 2013
  • Accepted: November 2012
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Apr 2016 08:28
Last Modified: 12 Apr 2016 08:29
Published Version: http://dx.doi.org/10.1371/journal.pcbi.1002854
Status: Published
Publisher: Public Library of Science
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pcbi.1002854

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