You Are All Set!

You now have access to Semantic Reader Beta features including highlighting and note taking.

Illustration: Semantic Reader example showing how citations can be viewed in context of the rest of the paper.
Semantic Reader

Introducing Semantic Reader

An AI-Powered Augmented Scientific Reading Application

What is Semantic Reader?

Semantic Reader is an augmented reader with the potential to revolutionize scientific reading by making it more accessible and richly contextual.

Studies have uncovered many points of friction that break the flow of comprehension when reading technical papers:

  • Frequently paging back and forth looking for the details of cited papers
  • Challenges recognizing the same work across multiple papers
  • Losing track of reading history and notes
  • Contending with a PDF format that is not well suited to mobile reading or assistive technologies such as screen readers

To create a better reading experience, Semantic Reader uses artificial intelligence to understand a document’s structure and merge it with the Semantic Scholar’s academic corpus, providing detailed information in context via tooltips and other overlays. If you’re logged-in, Semantic Reader integrates with your library and, over time, will incorporate personalized contextual augmentations as well.

Semantic Reader interface showing citation detail cards, Table of Contents, Save to Library button, and Cite button

A Revolutionary Reading Experience

Semantic Reader is now available for most arXiv papers on Semantic Scholar with an introductory set of features.

  • Citations Cards that show details of a cited paper in-line where you’re reading, including TLDR summaries
  • Table of Contents to quickly navigate between sections (availability varies)
  • Save to Library to conveniently track your reading list

We are incrementally improving, testing, and rolling out new features in Semantic Reader and expanding coverage to more paper sources.

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Powered by State-of-the-Art Research

Semantic Reader is based on research from the Semantic Scholar team at AI2, UC Berkeley and the University of Washington, and supported in part by the Alfred P. Sloan Foundation.

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