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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

Assessing the utility of social media as a data source for flood risk management using a real‐time modelling framework
2017 L. Smith, Q. Liang, P. James et al.

A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries
2016 Gail Tomblin Murphy, Stephen Birch, Adrian MacKenzie et al.

Scientific Article Summarization Using Citation-Context and Article's Discourse Structure
2017 Arman Cohan, Nazli Goharian

Integrated watershed management: evolution, development and emerging trends
2016 Guangyu Wang, Shari Mang, Haisheng Cai et al.

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

Vaccine Adjuvants: from 1920 to 2015 and Beyond
2015 Alberta Pasquale, Scott Preiss, Fernanda Silva et al.

Data Security, Privacy, Availability and Integrity in Cloud Computing: Issues and Current Solutions
2016 Sultan Aldossary, William Allen

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

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

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


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



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