Element AI, a global developer of artificial intelligence (AI) solutions, today is offering a free semantic search platform to help scientific researchers find answers and patterns in research papers by combing through the COVID-19 Open Research Dataset (CORD-19) corpus.
Information on COVID-19 is evolving fast and this platform will connect different data sources configured to work with the COVID-19 Open Research dataset. Scientific researchers looking for critical information can search or query terms, phrases, and keywords in the platform’s easy-to-use semantic search engine. The platform can identify potential patterns across thousands of documents and papers—recommending similar articles for accelerated results.
“Research data and reports are being published at an unprecedented pace as organizations scale up their efforts to respond to COVID-19. We want to contribute, and this free platform is our way to help the scientific community locate and gather knowledge to find answers and patterns,” said Jean-François (JF) Gagné, CEO and Co-founder of Element AI. “We encourage the scientific community to use this free platform and engage with our team so we can all work together to quickly navigate through thousands of COVID-19 research articles to access and share better knowledge to slow down and contain COVID-19,” added Gagné.
The COVID-19 research platform leverages technology from the Element AI Knowledge Scout product, which uses natural language techniques to tap into structured and unstructured sources of information. The first version will be progressively updated in coming weeks as additional datasets emerge. The site can be accessed at:https://www.elementai.com/covid-research.
