Frame-based modeling for identifying the lexicon of Gender-based Violence
Abstract
Research indicates alarming data on gender-based violence in Brazil and around the world, and suggests that this violence is underreported. This work consists of an effort to model the domain of violence for frame-based semantic analysis, in relation to the open fields of SINAN, which contain information on situations of violence in medical care. Frame-based semantic analysis seeks to assist the task of computational algorithms, identifying what type of frames were evoked in the related domain. After modeling, the analysis of the prevalence of frames and lexical units in the e-SUS APS and SINAN corpora allows the identification of possible trajectories of violence against women.
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