Exploiting and assessing multi-source data for supervised biomedical named entity recognition-Reference-Cited by-同舟云学术

Exploiting and assessing multi-source data for supervised biomedical named entity recognition

Published:2018-03-10 Issue:14 Volume:34 Page:2474-2482
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Galea Dieter¹,Laponogov Ivan¹,Veselkov Kirill¹

Affiliation:

1. Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK

Funder

BBSRC

EU-METASPACE

Imperial College Stratified Medicine Graduate Training Programme in Systems Medicine and Spectroscopic Profiling

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/14/2474/25138354/bty152.pdf

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