@ the International Conference on
Business Process Management (BPM),
in Toronto, Canada, Sept. 28, 2026
The NLP4BPM workshop serves as a platform for researchers and practitioners to present, discuss, and evaluate how natural language processing (NLP) and large language models (LLMs) can be applied to create innovative methods, refine existing techniques, develop tools, and enhance process-aware systems that support various phases of the BPM life cycle. Natural language and LLMs hold significant potential in this context, performing a range of critical functions. They can make process descriptions more accessible and comprehensible, define the semantics of events and activities, and serve as intuitive interfaces for process mining or modeling tasks. Moreover, LLMs’ rich embedded knowledge—spanning processes, domains, and programming—can be utilized to generate insightful analyses and actionable suggestions for process improvement.
The workshop welcomes contributions across the entire BPM spectrum, en-compassing foundational research, engineering methodologies, and management practices. We invite submissions that focus on the integration of textual content or semantics into BPM tasks, as well as those leveraging the implicit knowledge of LLMs. Topics of interest include, but are not limited to:
Application of large language models for BPM tasks
Generating process models from natural language text
Determining process compliance against regulatory texts
Assessing process model quality and consistency
Semantic process mining
Decision mining based on natural language attributes
Automated process improvement based on large language models
Process mining based on unstructured, textual information
Conversational interfaces for BPM
Process model matching and querying
Robotic process automation
Cognitive process automation
Impact of NLP and large language models for BPM in the industry
We are open to receive several types of paper submissions to our workshop:
Regular papers (up to 12 pages), which can relate to the development of specific techniques or approaches (including work-in-progress) and case studies.
Idea and vision papers (5 to 7 pages), which point to exciting new directions in early stages of research, or bold visions of new challenges and opportunities in the application of NLP to BPM
Dataset papers (5 to 7 pages), which aim to share and describe (new) datasets that can be used by other researchers in the context of NLP for BPM.
Authors are invited to submit original, unpublished research papers. Papers must be written in English and strictly following the Springer LNBIP style. Indicated page limits apply to the total length of the manuscript, including references.
In addition, where possible, an effort should be made to make the results of the papers reproducible. In case LLMs are used, the prompts used to interact with them should be made available as well as other parameters used in the configuration. When possible, evaluations should include at least one open source LLM so that results can be compared in further research. If that is not possible, the version of the closed LLM and dates when the experiments where performed should be explicitly stated in the manuscript.
Submitted papers will be evaluated according to their rigor, significance, originality, technical quality and exposition, by at least three distinct members of an international program committee. All submissions must be done via EasyChair: https://easychair.org/my/conference?conf=bpm2026.
The workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). At least one author of each accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions and procedures of the main BPM’26 conference to be found at its website: https://www.yorku.ca/events/bpm2026/.
Paper submission: June 5, 2026
Notification to authors: July 3, 2026
Camera-ready submission: July 31, 2026
Workshop: September 28, 2026
All deadlines are set to 23:59 Anywhere on Earth (AoE), GMT+12.
Henrik Leopold, Kühne Logistics University
Jana-Rebecca Rehse, University of Mannheim
Vinicius Stein Dani, Utrecht University
Adrian Rebmann, SAP Signavio
Alessandro Berti, RWTH Aachen
Başak Aydemir, Utrecht University
Bedilia Estrada-Torres, University of Sevilla
Chiara Ghidini, Fondazione Bruno Kessler
Christoph Kecht, FIM Research Center for Information Management
Daniela Grigori, University Paris-Dauphine
Diana Sola, Cooperative State University (DHBW) Heidenheim
Fabrizio Maria Maggi, Free University of Bozen-Bolzano
Han van der Aa, University of Vienna
Hugo A. López, Technical University of Denmark
Jan Mendling, Humboldt-Universität zu Berlin
Josep Carmona, Process Talks
Julian Neuberger, Technical University of Denmark
Julius Köpke, University of Klagenfurt
Karolin Winter, Eindhoven University of Technology
Lars Ackermann, Hof University of Applied Sciences
Michael Grohs, University of Mannheim
Patrizio Bellan, Fondazione Bruno Kessler
Sven Weinzierl, Friedrich-Alexander-Universität Erlangen-Nürnberg
Walid Gaaloul, Télécom SudParis
William Van Woensel, University of Ottawa
Wolfgang Kratsch, Technische Hochschule Augsburg
NLP4BPM'2025 (Seville, Spain): https://sites.google.com/view/nlp4bpm2025
NLP4BPM'2024 (Krakow, Poland): https://sites.google.com/view/nlp4bpm2024
NLP4BPM'2023 (Utrecht, The Netherlands): https://sites.google.com/view/nlp4bpm2023
NLP4BPM'2022 (Münster, Germany): https://sites.google.com/view/nlp4bpm2022