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Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

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arxiv 1606.07993 v1 pith:265PAJOY submitted 2016-06-26 cs.CL

Feifan Liu , Jinying Chen , Abhyuday Jagannatha , Hong Yu This is my paper · ORCID
classification cs.CL
keywords bioieextractioninformationlearningadvancesbiomedicalmethodologicalrecent
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Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research. Unlike existing reviews covering a holistic view on BioIE, this review focuses on mainly recent advances in learning based approaches, by systematically summarizing them into different aspects of methodological development. In addition, we dive into open information extraction and deep learning, two emerging and influential techniques and envision next generation of BioIE.

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