Challenges and Opportunities of Applying Natural Language Processing in Business Process Management

Han van der Aa · Josep Carmona · Henrik Leopold · Jan Mendling · Lluís Padró

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Business Process Modeling and Analysis Natural Language Processing Techniques Robotic Process Automation Applications

Abstract

The Business Process Management (BPM) field focuses in the coordination of labor so that organizational processes are smoothly executed in a way that products and services are properly delivered.At the same time, NLP has reached a maturity level that enables its widespread application in many contexts, thanks to publicly available frameworks.In this position paper, we show how NLP has potential in raising the benefits of BPM practices at different levels.Instead of being exhaustive, we show selected key challenges were a successful application of NLP techniques would facilitate the automation of particular tasks that nowadays require a significant effort to accomplish.Finally, we report on applications that consider both the process perspective and its enhancement through NLP.

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References

2018Fundamentals of Business Process Management 2016Process Mining: Data Science in Action 2012Replaying history on process models for conformance checking and performance analysis 2010Similarity of business process models: Metrics and evaluation 2008Metrics for Process Models : Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness 2008Efficient Compliance Checking Using BPMN-Q and Temporal Logic 2011Process Model Generation from Natural Language Text 2011Refactoring large process model repositories

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