DOMESTIC VIOLENCE IN PERSPECTIVE OF WOMEN WHO LIVED IT

Introduction: Knowing the experience of abuse, contextual determinants that led to the rupture of the situation and attempts to build a more harmonious future, it is essential to work sensitivities and better understand victims of domestic violence. Objectives: To understand the suffering of women victims of violence. Methods: This is an intentional sample of 21 women who were at shelter home or in the community. The data were collected by in- Documento descargado de http://www.elsevier.es el 13-10-2016 3rd World Congress of Health Research 21 terviews, guided by a script organized into four themes. The interviews were conducted with audio record, the permission of the participants were fully passed the text and analyzed as two different corpuses, depending on the context in which they occurred. The analysis was conducted using the ALCESTE computer program. The study obtained a favorable opinion of the Committee on Health and Welfare of the University of Évora. Results: From the irst sample analysis emerged ive classes. The association of the words gave the meaning of each class that we have appointed as Class 1 - Precipitating Events; Class 2 - Experience of abuse; Class 3 - Two feet in the present and looking into the future; Class 4 - The present and learning from the experience of abuse; and Class 5 - Violence in general. From the analysis of the sample in the community four classes emerged that we have appointed as Class 1 - Violence in general; Class 2 - Precipitating Events; Class 3 - abuse of experience; and class 4 - Support in the process. Conclusions: Women who are at shelter home have this experience of violence and its entire context a lot are very focused on their experiences and the future is distant and unclear. Women in the community have a more comprehensive view of the phenomenon of violence as a whole, they can decentralize to their personal experiences and recognize the importance of support in the future construction process.

Using syntactic and semantic features for classifying mo- dal values in the portuguese language

This paper presents a study made in a field poorly explored in the Portuguese language – modality and its automatic tagging. Our main goal was to find a set of attributes for the creation of automatic tag- gers with improved performance over the bag-of-words (bow) approach. The performance was measured using precision, recall and F1. Because it is a relatively unexplored field, the study covers the creation of the corpus (composed by eleven verbs), the use of a parser to extract syntac- tic and semantic information from the sentences and a machine learning approach to identify modality values. Based on three different sets of attributes – from trigger itself and the trigger’s path (from the parse tree) and context – the system creates a tagger for each verb achiev- ing (in almost every verb) an improvement in F1 when compared to the traditional bow approach.