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Chemlistem: chemical named entity recognition using recurrent neural networks

Chemical named entity recognition (NER) has traditionally been dominated by conditional random fields (CRF)-based approaches but given the success of the artificial neural network techniques known as “deep learning” we decided to examine them as an alternative to CRFs. We present here several chemic...

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Detalles Bibliográficos
Publicado en:J Cheminform
Main Authors: Corbett, Peter, Boyle, John
Formato: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2018
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6755713/
https://ncbi.nlm.nih.gov/pubmed/30523437
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-018-0313-8
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