Semantic Scholar logo

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

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

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

Biomedical ontology alignment: an approach based on representation learning
2018 Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith et al.

HCI meets Material Science: A Literature Review of Morphing Materials for the Design of Shape-Changing Interfaces
2018 Isabel P. S. Qamar, Rainer Groh, David Holman et al.

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

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

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

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

TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences
2016 Leib Litman, Jonathan Robinson, Tzvi Abberbock

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.