The extraction of process models from text refers to the problem of turning the information
contained in an unstructured textual process descriptions into a formal representation, ie, a …

Abstract Business Process Management (BPM) aims to improve organizational activities and
their outcomes by managing the underlying processes. To achieve this, it is often necessary …

The extraction of business processes elements from textual documents is a research area
which still lacks the ability to scale to the variety of real-world texts. In this paper we …

Within a company, processes are typically documented in form of unstructured textual
information. To exploit all the techniques of Business Process Management and Process …

Drawing the strengths of data science and machine learning, process mining has recently
emerged as an effective research approach for process management and its decision …

The continued success of Large Language Models (LLMs) and other generative artificial
intelligence approaches highlights the advantages that large information corpora can have …

Process compliance verification ensures that processes adhere to a set of given regulatory
requirements which are typically assumed to be available in a formalized way using, eg …

With the advent of digital transformation, organizations increasingly rely on various
information systems to support their business processes (BPs). Recorded data, including …

Process-aware information systems offer extensive advantages to companies, facilitating
planning, operations, and optimization of day-to-day business activities. However, the time …

Although there is a long tradition of work in NLP on extracting entities and relations from text,
to date there exists very little work on the acquisition of business processes from …