Discovering Research with Semantic Scholar

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SUMMARY

Semantic Scholar is a free online tool developed by the Allen Institute that utilizes AI to generate personalized research paper recommendations and provides access to available PDFs. Users have reported that it can quickly identify relevant papers, potentially improving the research process compared to traditional methods like ResearchGate and Google Scholar. The platform has been positively received, with users noting its effectiveness in discovering new academic papers.

PREREQUISITES
  • Familiarity with academic research methodologies
  • Basic understanding of AI-driven recommendation systems
  • Experience using online research databases such as ResearchGate and Google Scholar
  • Knowledge of accessing and downloading academic papers in PDF format
NEXT STEPS
  • Explore the features of Semantic Scholar in detail
  • Research AI algorithms used in academic paper recommendations
  • Compare Semantic Scholar with other research tools like ResearchGate and Academia.edu
  • Investigate the impact of AI on academic research efficiency
USEFUL FOR

Researchers, academics, and students looking to enhance their literature review process and discover relevant papers more efficiently.

BillTre
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I just got an email solicitation from Semantic Scholar. It is a free online program (made by the Allen Institute to facilitate research) that makes AI generated recommendations of papers for you to read and has access to available pdfs.
I have been downloading papers from Research Gate, and less frequently Academia. For some people, I get them from peoples academic websites. Sometimes BioRvix or Google Scholar. This has worked pretty well for me.
The Semantic Scholar might find papers I would be interested in faster.

Anyone else had an experience with this?
 
Physics news on Phys.org
I have used it a bit now.
It seems pretty useful. Found a bunch of new papers.
 
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