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PubMedPortable: A Framework for Supporting the Development of Text Mining Applications

Information extraction from biomedical literature is continuously growing in scope and importance. Many tools exist that perform named entity recognition, e.g. of proteins, chemical compounds, and diseases. Furthermore, several approaches deal with the extraction of relations between identified enti...

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Salvato in:
Dettagli Bibliografici
Pubblicato in:PLoS One
Autori principali: Döring, Kersten, Grüning, Björn A., Telukunta, Kiran K., Thomas, Philippe, Günther, Stefan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2016
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5051953/
https://ncbi.nlm.nih.gov/pubmed/27706202
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0163794
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