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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755713/ https://www.ncbi.nlm.nih.gov/pubmed/30523437 http://dx.doi.org/10.1186/s13321-018-0313-8 |