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News: Check out our newer demo at Paper To HTML.

Welcome to SciA11y!

This is an experimental prototype created by Semantic Scholar. It provides access to 1.5M open access scientific documents in accessible HTML format. Our system uses machine learning techniques to extract the semantic content of scientific papers and formats it in HTML for easier reading. Because of our reliance on statistical machine learning techniques, some errors are inevitable. We will continue to improve upon our models and would love to hear your feedback in the meantime. The papers included in this demo come from a static dataset; all papers have CC (non-ND) licenses and were published in or before April 2020. More about this prototype...

You can also upload your own PDF, which we process and render in HTML for reading. You can try this functionality here.

Example papers

Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling
2015 Mozhdeh Shahbazi, Gunho Sohn, Jérôme Théau et al.

Responses of Marine Organisms to Climate Change across Oceans
2016 Elvira S. Poloczanska, Michael T. Burrows, Christopher J. Brown et al.

Internet Access by People with Intellectual Disabilities: Inequalities and Opportunities
2013 Darren Chadwick, Caroline Wesson, Chris Fullwood

Application of acidic accelerator for production of pure hydrogen from NaBH4
2014 Wameath S. Abdul-Majeed, Muhammad T. Arslan, William B. Zimmerman

Deep Learning for Computer Vision: A Brief Review
2018 Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis et al.

Risk Factors and Preventions of Breast Cancer
2017 Yi-Sheng Sun, Zhao Zhao, Zhang-Nv Yang et al.

Spatial Modeling in Environmental and Public Health Research
2010 Michael Jerrett, Sara Gale, Caitlin Kontgis

Gd(III) ion-chelated supramolecular assemblies composed of PGMA-based polycations for effective biomedical applications
2015 Yu Zhao, Shun Duan, Bingran Yu et al.

Mendelian randomization of blood lipids for coronary heart disease
2014 Michael V. Holmes, Folkert W. Asselbergs, Tom M. Palmer et al.

Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
2016 Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic et al.

Preprint

To find out more about how we created this prototype, please read our preprint. Accessible PDF available here.

Team

Feedback

Please address questions or feedback to Lucy Lu Wang or Jonathan Bragg.