Hierarchical Multi-Label Classification of Online Vaccine Concerns

no code implementations • 1 Feb 2024 • Chloe Qinyu Zhu, Rickard Stureborg, Bhuwan Dhingra

Vaccine concerns are an ever-evolving target, and can shift quickly as seen during the COVID-19 pandemic.

Classification Hierarchical Multi-label Classification +1

Do Not Harm Protected Groups in Debiasing Language Representation Models

no code implementations • 27 Oct 2023 • Chloe Qinyu Zhu, Rickard Stureborg, Brandon Fain

Language Representation Models (LRMs) trained with real-world data may capture and exacerbate undesired bias and cause unfair treatment of people in various demographic groups.

Fairness text-classification +2

Learning the Legibility of Visual Text Perturbations

1 code implementation • 9 Mar 2023 • Dev Seth, Rickard Stureborg, Danish Pruthi, Bhuwan Dhingra

In this work, we address this gap by learning models that predict the legibility of a perturbed string, and rank candidate perturbations based on their legibility.