DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

Abstract Background Biomedical named-entity recognition (BioNER) is widely modeled with conditional random fields (CRF) by regarding it as a sequence labeling problem. The CRF-based methods yield structured outputs of labels by imposing connectivity between the labels. Recent studies for BioNER have...

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Bibliographic Details
Main Authors: S. K. Hong, Jae-Gil Lee
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Bioinformatics
Subjects:
Bioinformatics
Data mining
Named entity recognition
Neural network
Online Access:https://doi.org/10.1186/s12859-020-3393-1

Internet

https://doi.org/10.1186/s12859-020-3393-1

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