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Autores Matiz, Carlos, Florez, Lucila, Duran, Mauricio, Bolívar, Fabio, Contreras, Rubén, Hincapié, Gustavo, Llanos, Elkin, Chamorro, Julia, Baños, Iván, Niederbacher, Jurg, Santiago, Ernesto, Piraquive, Jorge Herman, Piotrostanalzki, Audrey, Palacios, Isabel, Morales, Edison, Quintero, Jorge, García, Patricia, Torres, Carlos, Solarte, Iván, Acero, Rafael, Celis, Carlos, Rey, Diana, Alvarado, Jaime, Rada, Robín, Giraldo, Angela, Torres González, July Vianneth, Paúl, Héctor, Cortes, Julián, Forero, Jaime, Blanco, José Luis, Ariza, Wilhen, Ali, Abraham, Rojas, Juan Carlos, Martínez, Ingrid, Manrique, Luisa
Publicado 2021-03-08
Publicado 2021-03-08
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Descripción:
“...The “BeMantics” framework scored high precision values (0.717) but low recall values (0.558), which implies that even when the framework avoided false negatives, it prone to false positives. The highest precision value was scored in the linguistic criterion showing that using semantic inference in the tasks comparison allowed to reduce around 23.6 % the number of false positives. ...”
