Automated chart analysis has vast potential to improve the accessibility of charts for a wider
audience, eg, people with visual impairments or other disabilities, by generating captions for …

Recent progress in deep learning has led to successful utilization of encoder–decoder
frameworks inspired by machine translation in image captioning models. The stacking of …

The majority of scientific papers are distributed in PDF, which pose challenges for
accessibility, especially for blind and low vision (BLV) readers. We characterize the scope of …

One unsolved sub-task of document analysis is mathematical formula detection (MFD).
Research by ourselves and others has shown that existing MFD datasets with inline and …

In this paper, we propose a novel deep neural model for Mathematical Expression
Recognition (MER). The proposed model uses encoder–decoder transformer architecture …

Screen-reader software enables blind users to access large segments of electronic content,
particularly if accessibility standards are followed. Unfortunately, this is not true for much of …

Most PDF documents are inaccessible for people with disabilities, creating barriers in
education, science, commerce, e-government, and recreation. Documents in PDF format are …

This survey analyzes the quality of the portable document format (PDF) documents in online
repositories in Switzerland, examining their accessibility for people with visual impairments …

This paper presents our experiences supporting web accessibility planning among a group
of older adult online content creators. We highlight challenges we encountered meeting the …

Abstract Open Educational Resources (OERs) have been widely promoted in the higher
education community in recent years. However, the accessibility of OERs for people with …