no code implementations • RANLP 2021 • Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz
This paper presents the preliminary results of an ongoing project that analyzes the growing body of scientific research published around the COVID-19 pandemic.
no code implementations • RANLP 2021 • Hian Cañizares-Díaz, Alejandro Piad-Morffis, Suilan Estevez-Velarde, Yoan Gutiérrez, Yudivián Almeida Cruz, Andres Montoyo, Rafael Muñoz-Guillena
Experimental results suggest that the query strategy reduces by between 35% and 40% the number of sentences that must be manually annotated to develop systems able to reach a target F1 score, while the pre-annotation strategy produces an additional 24% reduction in the total annotation time.
no code implementations • COLING 2020 • Suilan Estevez-Velarde, Alejandro Piad-Morffis, Yoan Guti{\'e}rrez, Andres Montoyo, Rafael Mu{\~n}oz-Guillena, Yudivi{\'a}n Almeida Cruz
This paper introduces a web demo that showcases the main characteristics of the AutoGOAL framework.