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