Covid-19 Semantic Browser leverages state-of-the-art neural networks to search relevant articles inside the COVID-19 Open Research Dataset (CORD-19)  published by the American nonprofit Allen Institute for Artificial Intelligence. By releasing an effective way to search for recent information about SARS-CoV-2 and Covid-19, we hope to facilitate the sharing of information in the research community and accelerate the development of new vaccines and treatments.

This project is led by Gabriele Sarti from the Data Science program at University of Trieste & SISSA, and is the product of a collaboration between the Italian Association for Computational Linguistics and Area Science Park, in the framework of the ARGO initiative and its R&D Platforms, which offers highly advanced competences and equipment for R&D activities both to the public and the private sector.

The development team is currently composed by Mirko Lai, Tommaso Rodani, Marco Franzon and Francesco Zuppichini. Code and all the models are open-source and available on Github.

To get started, search something that interests you, e.g. Is chloroquine effective against SARS-CoV-2?
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