Semantic Scholar, NLP, and the Fight Against COVID-19
Toronto Machine Learning Series (TMLS) via YouTube
Overview
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Explore the intersection of artificial intelligence and the fight against COVID-19 in this 27-minute conference talk by Dr. Oren Etzioni, CEO of the Allen Institute for AI. Delve into the creation of the COVID-19 Open Research Dataset (CORD-19) and its impact on advancing scientific understanding of the virus. Discover how natural language processing (NLP) techniques are being applied to extract valuable insights from this vast collection of research papers. Learn about the various initiatives, both within and outside the Semantic Scholar project, that are leveraging this dataset to accelerate COVID-19 research and treatment development. Gain insights into the latest advancements in NLP that have made this crucial work possible, and understand how AI is being harnessed for the common good in the face of a global pandemic.
Syllabus
Semantic Scholar, NLP, and the Fight against COVID 19
Taught by
Toronto Machine Learning Series (TMLS)