Amanote Research

Amanote Research

    RegisterSign In

A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition With Domain Features

BMC Bioinformatics - United Kingdom
doi 10.1186/s12859-019-3071-3
Full Text
Open PDF
Abstract

Available in full text

Categories
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
Date

December 1, 2019

Authors
Xusheng LiChengcheng FuRan ZhongDuo ZhongTingting HeXingpeng Jiang
Publisher

Springer Science and Business Media LLC


Related search

Learning With Multiple Stacking for Named Entity Recognition

2002English

Exploiting Domain Structure for Named Entity Recognition

2006English

Character Feature Learning for Named Entity Recognition

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2018English

DTranNER: Biomedical Named Entity Recognition With Deep Learning-Based Label-Label Transition Model

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2020English

Deep Affix Features Improve Neural Named Entity Recognizers

2018English

Boosting for Named Entity Recognition

2002English

Stopping Criteria for Active Learning of Named Entity Recognition

2008English

Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools

2012English

Nested Named Entity Recognition

2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy