Learning for Biomedical Information Extraction: Methodological Review of Recent Advances
June 26, 2016 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu
arXiv ID
1606.07993
Category
cs.CL: Computation & Language
Citations
60
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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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