Enhancing Job Searches in Mexico City with Language Technologies

no code implementations • LREC 2020 • Gerardo Sierra Mart{\'\i}nez, Gemma Bel-Enguix, Helena G{\'o}mez-Adorno, Juan Manuel Torres Moreno, Tonatiuh Hern{\'a}ndez-Garc{\'\i}a, Julio V Guadarrama-Olvera, Jes{\'u}s-Germ{\'a}n Ortiz-Barajas, {\'A}ngela Mar{\'\i}a Rojas, Tomas Damerau, Soledad Arag{\'o}n Mart{\'\i}nez

In this paper, we show the enhancing of the Demanded Skills Diagnosis (DiCoDe: Diagn{\'o}stico de Competencias Demandadas), a system developed by Mexico City{'}s Ministry of Labor and Employment Promotion (STyFE: Secretar{\'\i}a de Trabajo y Fomento del Empleo de la Ciudad de M{\'e}xico) that seeks to reduce information asymmetries between job seekers and employers.

Management