Semantic Scholar is a free, AI-powered search and discovery tool that helps researchers discover and understand scientific literature that's most relevant to their work. Semantic Scholar uses machine learning techniques to extract meaning and identify connections from within papers, then surfaces these insights to help scholars gain an in-depth understanding quickly. The mission is to accelerate scientific breakthroughs by using AI to help scholars locate and understand the right research, make important connections, and overcome information overload. Semantic Scholar covers all STM and SSH disciplines including biology, medicine, computer science, geography, business, history, and economics. More than 200 million papers are sourced from partners such as PubMed, Springer Nature, Taylor & Francis, SAGE, Wiley, ACM, IEEE, arXiv, and Unpaywall.
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