Entity recognition in the biomedical domain using a hybrid approach

Entity recognition in the biomedical domain using a hybrid approach

Abstract Background This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. Method The approach uses a two-stage pipeline, combining a dictionary-based entity recognizer with a machine-learning classifier. First, the OGER enti...

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Bibliographic Details
Main Authors: Marco Basaldella, Lenz Furrer, Carlo Tasso, Fabio Rinaldi
Format: Article
Language:English
Published: BMC 2017-11-01
Series:Journal of Biomedical Semantics
Subjects:
Named entity recognition
Text mining
Machine learning
Natural language processing
Online Access:http://link.springer.com/article/10.1186/s13326-017-0157-6

Internet

http://link.springer.com/article/10.1186/s13326-017-0157-6

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