The competition CORD-19 (COVID-19 Open Research Dataset Challenge) has been organized by several organizations such as Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University, Microsoft Research, National Institutes of Health and The White House Office of Science and Technology Policy. The organization has made available to the global research community more than 50,000 scientific articles on COVID-19, SARS-CoV-2 and other coronavirus. At the same time, they issue a call to action to artificial intelligence researchers to apply the recent advances in natural language processing, in order to help scientists fighting COVID-19 disease to find necessary information in the scientific literature.
In the first phase of the competition there were 10 awards, and the system developed in the Ixa group of the HITZ centre has been awarded with one of them. Researchers from the University of the Basque Country Arantxa Otegi and Jon Ander Campos and professors Eneko Agirre and Aitor Soroa participated in the development of the system. The developed system finds answers to high priority questions from experts related to COVID-19 disease and the SARS-CoV-2 virus analyzing the aforementioned scientific articles. Thus, this system is useful for finding answers to questions such as the history of coronavirus, the transmission and diagnosis of the virus, the prevention measures in the contact between humans and animals and the lessons of previous epidemiological studies. The results of the system have been evaluated by a group of experts from the NIH of the United States and it has been selected as the system that has best answered a set of questions on the topic “What do we know about diagnostics and surveillance?”. The answers given by the system can be seen here.
See here some examples
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