no code implementations • SMM4H (COLING) 2020 • Olanrewaju Tahir Aduragba, Jialin Yu, Gautham Senthilnathan, Alexandra Crsitea
This paper details the system description and approach used by our team for the SMM4H 2020 competition, Task 1.
1 code implementation • 5 Jan 2023 • Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
To leverage information from text pairs, we additionally introduce a novel supervised model we call dual directional learning (DDL), which is designed to integrate with our proposed VSAR model.
1 code implementation • 11 Dec 2022 • Olanrewaju Tahir Aduragba, Alexandra I. Cristea, Pete Phillips, Jonas Kurlberg, Jialin Yu
During the COVID-19 pandemic, the Church closed its physical doors for the first time in about 800 years, which is, arguably, a cataclysmic event.
1 code implementation • 9 Dec 2022 • Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
The health mention classification (HMC) task is the process of identifying and classifying mentions of health-related concepts in text.
no code implementations • 9 Dec 2022 • Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
Detecting personal health mentions on social media is essential to complement existing health surveillance systems.
no code implementations • 2 Sep 2022 • Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
XAI with natural language processing aims to produce human-readable explanations as evidence for AI decision-making, which addresses explainability and transparency.
Decision Making Explainable Artificial Intelligence (XAI) +2