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Recently, Information and Communication Technologies have introduced new practices in human resource management functions such as e-recruitment. Job seekers submit their Curriculum Vitae (CV) via the Web, or send them directly to a company. The area of e-recruitment is facing a growing number of these documents which are in different formats, and contain a large amount of information. Then, it has become imperative to use automated techniques to identify, extract, and exploit information from CVs to find the most appropriate one for a given post. Our work focuses on CVs analysis. We present a system for analyzing and structuring CVs which are in French language. For his end, we made an extension of General Architecture of Text Engineering (GATE) by formulating necessary rules that generate new annotations. The goal is to normalize the CV content according to the structure adopted by Europass CV. This action is guided by the HR-XML standard. An empirical study is conducted to validate the proposed process and we show that there is an improvement in the extraction phase.
Amdouni et al. (Sat,) studied this question.