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Semantic Scholar. Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing ...
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.
Oct 6, 2023 · Semantic Scholar's corpus includes nearly 200 million academic papers across all domains, including biomedicine, computer science, business, history, and economics. Our system extracts key information from papers and presents it on the Paper Page for review. Learn how to: Browse videos, presentations, code libraries, and clinical trials
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. Our 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.
Nov 18, 2020 · A screenshot of the tl;dr feature in Semantic Scholar. AI2 The context: In an era of information overload, using AI to summarize text has been a popular natural-language processing (NLP) problem.
Mar 1, 2024 · Developed by the non-profit Allen Institute for Artificial Intelligence, Semantic Scholar is a free, AI-powered research and discovery tool for navigating the ever growing literature in all scientific domains. By applying artificial intelligence to extract the meaning from the scientific literature, Semantic Scholar allows scholars to navigate ...
