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An adaptive annotation approach for biomedical entity and relation recognition

In this article, we demonstrate the impact of interactive machine learning: we develop biomedical entity recognition dataset using a human-into-the-loop approach. In contrary to classical machine learning, human-in-the-loop approaches do not operate on predefined training or test sets, but assume th...

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Dades bibliogràfiques
Publicat a:Brain Inform
Autors principals: Yimam, Seid Muhie, Biemann, Chris, Majnaric, Ljiljana, Šabanović, Šefket, Holzinger, Andreas
Format: Artigo
Idioma:Inglês
Publicat: Springer Berlin Heidelberg 2016
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4999566/
https://ncbi.nlm.nih.gov/pubmed/27747591
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40708-016-0036-4
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