The AI Reports

Semantic Scholar

What is Semantic Scholar?

Semantic Scholar is an AI-powered research tool designed to facilitate the search and discovery of scientific literature. It integrates advanced AI capabilities to analyze and understand research paper semantics.

The tool provides access to a large database with features like paper summaries (TLDRs), citation context, and personalized recommendations.

Developed by the Allen Institute for AI, Semantic Scholar supports scholars by offering a more interactive and informative research experience.

Semantic Scholar use cases

  1. A scholar quickly finding relevant research papers.
  2. A student organizing study materials in a digital library.
  3. A researcher receiving updates on new citations for specific papers.
  4. An academic using a personalized feed for latest research discoveries.

Semantic Scholar functionalities

  • Search: Access over 200 million papers.
  • TLDRs: Summaries for quick paper insights.
  • Library: Organize and store papers.
  • Research Feeds: Personalized paper recommendations.

Pros and Cons

Pros

  • AI-enhanced search efficiency.
  • Rich scholarly data for developers.
  • Advanced reading features like TLDRs and citation context.
  • Access to a vast academic paper database.

Cons

  • Limited to mostly English-language papers.
  • Some features may be in beta and not widely available.
  • Contextual understanding may need more diversity in disciplines.

Semantic Scholar pricing

No pricing is available

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Semantic Scholar FAQ

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About the author

M. Kooiker

M. Kooiker

As an experienced online marketeer with a longstanding interest in AI, I've immersed myself in the latest AI advancements in recent years. Passionate about innovation, I actively test AI tools and dedicate myself to guiding users in selecting the right technology. My mission is to connect people with cutting-edge AI solutions.