Biomedical named entity recognition using deep neural networks with contextual information

Abstract Background In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Previously proposed methods for NER are dictionary- or rule-based methods and machine learning approaches. However, these traditional approaches ar...

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Bibliographic Details
Main Authors: Hyejin Cho, Hyunju Lee
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-019-3321-4