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SIA: a scalable interoperable annotation server for biomedical named entities
Recent years showed a strong increase in biomedical sciences and an inherent increase in publication volume. Extraction of specific information from these sources requires highly sophisticated text mining and information extraction tools. However, the integration of freely available tools into custo...
Autores principales: | Kirschnick, Johannes, Thomas, Philippe, Roller, Roland, Hennig, Leonhard |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755617/ https://www.ncbi.nlm.nih.gov/pubmed/30552534 http://dx.doi.org/10.1186/s13321-018-0319-2 |
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