Deep learning with word embeddings improves biomedical named entity recognition
Author:
Affiliation:
1. Computer Science Department, Humboldt-Universität zu Berlin, Berlin, Germany
2. Enterprise Platform and Integration Concepts, Hasso-Plattner-Institute, Potsdam, Germany
Funder
BMBF
DFG
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/33/14/i37/25157154/btx228.pdf
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4. Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics;Batista-Navarro;J. Cheminform,2015
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