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Evaluating the impact of pre-annotation on annotation speed..:
Lingren, Todd
;
Deleger, Louise
;
Molnar, Katalin
...
Journal of the American Medical Informatics Association. 21 (2014) 3 - p. 406-413 , 2014
Link:
https://doi.org/10.1136/amiajnl-2013-001837
RT Journal T1 <Title>Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1136_amiajnl-2013-001837&Exemplar=1&LAN=DE A1 Lingren, Todd A1 Deleger, Louise A1 Molnar, Katalin A1 Zhai, Haijun A1 Meinzen-Derr, Jareen A1 Kaiser, Megan A1 Stoutenborough, Laura A1 Li, Qi A1 Solti, Imre PB Oxford University Press (OUP) YR 2014 SN 1067-5027 SN 1527-974X JF Journal of the American Medical Informatics Association VO 21 IS 3 SP 406 OP 413 LK http://dx.doi.org/https://doi.org/10.1136/amiajnl-2013-001837 DO https://doi.org/10.1136/amiajnl-2013-001837 SF ELIB - SuUB Bremen
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