Large language models for business process management: Opportunities and challenges

M Vidgof, S Bachhofner, J Mendling - International Conference on …, 2023 - Springer
Large language models are deep learning models with a large number of parameters. The
models made noticeable progress on a large number of tasks, and as a consequence …

[BOOK][B] Emerging technologies: value creation for sustainable development

S Küfeoğlu - 2022 - library.oapen.org
This monograph investigates a multitude of emerging technologies including 3D printing,
5G, blockchain, and many more to assess their potential for use to further humanity's shared …

Just tell me: Prompt engineering in business process management

K Busch, A Rochlitzer, D Sola, H Leopold - International Conference on …, 2023 - Springer
GPT-3 and several other language models (LMs) can effectively address various natural
language processing (NLP) tasks, including machine translation and text summarization …

Recommendations for enhancing the usability and understandability of process mining in healthcare

N Martin, J De Weerdt, C Fernández-Llatas… - Artificial Intelligence in …, 2020 - Elsevier
Healthcare organizations are confronted with challenges including the contention between
tightening budgets and increased care needs. In the light of these challenges, they are …

A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM

X Tian, R Pavur, H Han, L Zhang - Business Process Management …, 2023 - emerald.com
Purpose Studies on mining text and generating intelligence on human resource documents
are rare. This research aims to use artificial intelligence and machine learning techniques to …

Large language models can accomplish business process management tasks

M Grohs, L Abb, N Elsayed, JR Rehse - International Conference on …, 2023 - Springer
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 …

From process mining to augmented process execution

D Chapela-Campa, M Dumas - Software and Systems Modeling, 2023 - Springer
Business process management (BPM) is a well-established discipline comprising a set of
principles, methods, techniques, and tools to continuously improve the performance of …

Extracting business process entities and relations from text using pre-trained language models and in-context learning

P Bellan, M Dragoni, C Ghidini - International Conference on Enterprise …, 2022 - Springer
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 …

[HTML][HTML] Generating BPMN diagram from textual requirements

S Sholiq, R Sarno, ES Astuti - Journal of King Saud University-Computer …, 2022 - Elsevier
An interesting challenge in software requirements engineering is converting textual
requirements to Business Process Model and Notation (BPMN) diagrams. In this study, the …

A natural language querying interface for process mining

L Barbieri, E Madeira, K Stroeh… - Journal of Intelligent …, 2023 - Springer
In spite of recent advances in process mining, making this new technology accessible to non-
technical users remains a challenge. Process maps and dashboards still seem to frighten …