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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...

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Bibliografiske detaljer
Udgivet i:J Cheminform
Main Authors: Kirschnick, Johannes, Thomas, Philippe, Roller, Roland, Hennig, Leonhard
Format: Artigo
Sprog:Inglês
Udgivet: Springer International Publishing 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6755617/
https://ncbi.nlm.nih.gov/pubmed/30552534
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-018-0319-2
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