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A neural network multi-task learning approach to biomedical named entity recognition
BACKGROUND: Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain related but different information, an interesting question...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5558737/ https://ncbi.nlm.nih.gov/pubmed/28810903 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1776-8 |
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