Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/20.500.12008/26651
Cómo citar
Título: | A computational framework for the analysis of the Uruguayan dictatorship archives. |
Autor: | Etcheverry, Lorena Agorio, Leopoldo Bacigalupe, Virginia Barreiro, Sofía Bing, Elena Blixen, Samuel Calegari, Daniel Cardozo, Lautaro Carpani, Fernando Chavat, Felipe Garat, Diego Gómez, Alvaro Fernández, Ernesto Fioritto, Federico Hernánez, Fabián Laguna, Rodrigo Marabotto, Víctor Moncecchi, Guillermo Ramírez, Ignacio Rosa, Aiala Stabile, Javier Tiscornia, Jorge Patiño, Nilo Rivero, Lía Wonsever, Dina Zorron, Guillermo Randall, Gregory |
Tipo: | Conferencia |
Palabras clave: | Documents analysis and recognition, OCR, Historical documents retrieval |
Fecha de publicación: | 2021 |
Resumen: | Between 1973 and 1985, a civic-military dictatorship ruled in Uruguay. Systematic violations of human rights marked this period. Project Cruzar.uy aims to develop tools and methodologies to analyze historical documents from that period. We present the advances in this ongoing project. We describe a set of tools to automatize the extraction and organization of information from the archives using computational tools including image rocessing, machine learning, natural language processing, information extraction and integration. |
Editorial: | Qurator 2021 - Conference on Digital Curation Technologies |
EN: | Qurator 2021 - Conference on Digital Curation Technologies, Berlin, Germany, 8-12 feb, page 1-15, 2021 |
Citación: | Etcheverry, L., Agorio, L., Bacigalupe, V. y otros. A computational framework for the analysis of the Uruguayan dictatorship archives. [en línea] EN: Qurator 2021 - Conference on Digital Curation Technologies, Berlin, Germany, 8-12 feb. Berlin : Qurator 2021, 2021. pp. 1-15 |
Cobertura geográfica: | Uruguay |
Cobertura temporal: | 1973-1985 |
Aparece en las colecciones: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
---|---|---|---|---|---|
EABBBBCCCCGGFFHLMMRRSTPRWZR21.pdf | Versión definitiva | 1,6 MB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons