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GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text
MOTIVATION: Best performing named entity recognition (NER) methods for biomedical literature are based on hand-crafted features or task-specific rules, which are costly to produce and difficult to generalize to other corpora. End-to-end neural networks achieve state-of-the-art performance without ha...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5925775/ https://www.ncbi.nlm.nih.gov/pubmed/29272325 http://dx.doi.org/10.1093/bioinformatics/btx815 |