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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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Pubblicato in: | PLoS One |
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Autori principali: | , , , , |
Natura: | Artigo |
Lingua: | Inglês |
Pubblicazione: |
Public Library of Science
2016
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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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