Process Modeling has been adopted by organizations in various contexts, such as analysis for best practices, system design and Information Technology architecture. Despite its importance, modeling process is still costly and complex. The process mining technique extracts information from systems event log, however, a business process incorporates human activities, which will never be present in logs. This paper presents an approach that explores the narrative technique associated with text mining and natural language interpretation for automatic generation of process models.