Tahir Olanrewaju Aduragba olanrewaju.m.aduragba@durham.ac.uk
PGR Student Doctor of Philosophy
Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance
Aduragba, Tahir Olanrewaju; Yu, Jialin; Cristea, Alexandra I.; Long, Yang
Authors
Jialin Yu jialin.yu@durham.ac.uk
Academic Visitor
Professor Alexandra Cristea alexandra.i.cristea@durham.ac.uk
Professor
Dr Yang Long yang.long@durham.ac.uk
Associate Professor
Citation
Aduragba, T. O., Yu, J., Cristea, A. I., & Long, Y. (in press). Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance.
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | TheWebConf2023 |
Acceptance Date | Feb 7, 2023 |
Deposit Date | Feb 8, 2023 |
Public URL | https://durham-repository.worktribe.com/output/1134115 |
Publisher URL | https://www2023.thewebconf.org/ |
You might also like
Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification
(2018)
Presentation / Conference Contribution
Towards affordable semantic searching: Zero-shot retrieval via dominant attributes
(2018)
Presentation / Conference Contribution
Attribute embedding with visual-semantic ambiguity removal for zero-shot learning
(2016)
Presentation / Conference Contribution
A General Transductive Regularizer for Zero-Shot Learning
(2019)
Presentation / Conference Contribution
Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system
(2018)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search