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Covid-19 MLIA @ Eval initiative

The Covid-19 MLIA @ Eval initiative consists of three Natural Language Processing tasks: information extraction, multilingual semantic search and machine translation. The goal was to organize a community evaluation effort aimed at accelerating the creation of resources and tools for improving the deployment of automatic systems focused on Covid-19 related documents.

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Cite this as

Francisco Casacuberta, Alexandru Ceausu, Khalid Choukri, Miltos Deligiannis, Miguel Domingo, Mercedes García-Martínez, Manuel Herranz, Guillaume Jacquet, Vassilis Papavassiliou, Stelios Piperidis, Prokopis Prokopidis, Dimitris Roussis, Marwa Hadj Salah (2024). Dataset: Covid-19 MLIA @ Eval initiative. https://doi.org/10.57702/pc5gl618

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2211.07465
Author	Francisco Casacuberta
More Authors	Alexandru Ceausu Khalid Choukri Miltos Deligiannis Miguel Domingo Mercedes García-Martínez Manuel Herranz Guillaume Jacquet Vassilis Papavassiliou Stelios Piperidis Prokopis Prokopidis Dimitris Roussis Marwa Hadj Salah
Homepage	https://eval.covid19-mlia.eu/