Leveraging Data Augmentation for Process Information Extraction

arXiv:2404.07501v1 Announce Type: new
Abstract: Business Process Modeling projects often require formal process models as a central component. High costs associated with the creation of such formal process models motivated many different fields of research aimed at automated generation of process models from readily available data. These include process mining on event logs, and generating business process models from natural language texts. Research in the latter field is regularly faced with the problem of limited data availability, hindering both evaluation …

abstract arxiv augmentation automated business business process costs cs.cl data event extraction fields information information extraction leveraging data logs mining modeling process process mining projects research type