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Extraction of semantic biomedical relations from text using conditional random fields

BACKGROUND: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools. Named entity recognition of well-defined objects, such as genes or proteins, has a...

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Main Authors: Bundschus, Markus, Dejori, Mathaeus, Stetter, Martin, Tresp, Volker, Kriegel, Hans-Peter
格式: Artigo
語言:Inglês
出版: BioMed Central 2008
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2386138/
https://ncbi.nlm.nih.gov/pubmed/18433469
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-207
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