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.

Data and Resources

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

DOI retrieved: December 3, 2024

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/