The work will create a human-annotated dataset of contextual associations on 35 websites and evaluate four graph ML models against baselines for recovering those associations from accessibility trees under leave-one-site-out validation.
2401.16450 , archivePrefix=
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A11YRepair uses divide-and-conquer clustering and WCAG knowledge to repair multi-fault accessibility violations in web projects, showing better results than baselines on a new 60-project benchmark with some patches merged upstream.
citing papers explorer
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Contextual Associations Between Webpage Elements for Web Accessibility: An Empirical Study
The work will create a human-annotated dataset of contextual associations on 35 websites and evaluate four graph ML models against baselines for recovering those associations from accessibility trees under leave-one-site-out validation.
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A11YRepair: Bridging Web Accessibility Barriers via Knowledge-Enhanced Divide-and-Conquer Repair
A11YRepair uses divide-and-conquer clustering and WCAG knowledge to repair multi-fault accessibility violations in web projects, showing better results than baselines on a new 60-project benchmark with some patches merged upstream.