Génération automatique de lettres de recrutement
This master’s thesis presents the development of a Natural Language Generation system designed to automate the writing of first-contact letters by professional headhunters. A top-down approach modelled on Ehud Reiter’s work handles the Natural Language portion of the system. Content generation is based on association rules obtained by statistical analysis of a large database of LinkedIn profiles. The system writes English letters but can easily be extended to French. This project is part of the Butterfly Predictive Project, a collaboration between Université de Montréal and LittleBIGJob.
recrutement Natural language generation Data mining Human resources