model[NL]generation: natural language model extraction. - Lars Ackermann; Bernhard Volz (DSM@SPLASH, 2013)

Natural Language Generation for Declarative Process Models. - Lars Ackermann; Stefan Schönig; Michael Zeising; Stefan Jablonski (EOMAS@CAiSE, 2015)

MuDePS: Multi-perspective Declarative Process Simulation. - Lars Ackermann; Stefan Schönig (BPM (Demos), 2016)

Simulation of Multi-perspective Declarative Process Models. - Lars Ackermann; Stefan Schönig; Stefan Jablonski (Business Process Management Workshops, 2016)

Towards Simulation- and Mining-based Translation of Resource-aware Process Models. - Lars Ackermann; Stefan Schönig; Stefan Jablonski (Business Process Management Workshops, 2016)

Towards Simulation- and Mining-Based Translation of Process Models. - Lars Ackermann; Stefan Schönig; Stefan Jablonski (EOMAS@CAiSE, 2016)

Ansätze zum Ähnlichkeitsabgleich von deklarativen Geschäftsprozessmodellen. - Michaela Baumann; Michael Heinrich Baumann; Lars Ackermann; Stefan Schönig; Stefan Jablonski (GI-Jahrestagung, 2016)

Inter-Paradigm Translation of Process Models using Simulation and Mining. - Lars Ackermann; Stefan Schönig; Stefan Jablonski (CoRR, 2016)

DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution. - Stefan Schönig; Lars Ackermann; Stefan Jablonski (BPM (Demos), 2017)

Language-centric Approaches for Improving Business Process Model Acceptance. - Lars Ackermann (BPM (Dissertation/Demos/Industry), 2018)

An Integrated Architecture for IoT-Aware Business Process Execution. - Stefan Schönig; Lars Ackermann; Stefan Jablonski; Andreas Ermer (BPMDS/EMMSAD@CAiSE, 2018)

Deep Learning Process Prediction with Discrete and Continuous Data Features. - Stefan Schönig; Richard Jasinski; Lars Ackermann; Stefan Jablonski (ENASE, 2018)

Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models. - Stefan Schönig; Lars Ackermann; Stefan Jablonski (MODELSWARD, 2018)

Execution of Multi-perspective Declarative Process Models. - Lars Ackermann; Stefan Schönig; Sebastian Petter; Nicolai Schützenmeier; Stefan Jablonski (OTM Conferences (2), 2018)

Internet of Things Meets BPM: A Conceptual Integration Framework. - Stefan Schönig; Lars Ackermann; Stefan Jablonski (SIMULTECH, 2018)

Sprachzentrierte Ansätze zur Steigerung der Akzeptanz von Geschäftsprozessmodellen - Lars Ackermann (2018)

Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes. - Martin Käppel; Nicolai Schützenmeier; Stefan Schönig; Lars Ackermann; Stefan Jablonski (BPMDS/EMMSAD@CAiSE, 2019)

The RALph miner for automated discovery and verification of resource-aware process models. - Cristina Cabanillas; Lars Ackermann; Stefan Schönig; Christian Sturm 002; Jan Mendling (Softw. Syst. Model., 2020)

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution. - Stefan Schönig; Lars Ackermann; Stefan Jablonski; Andreas Ermer (Softw. Syst. Model., 2020)

Data-Driven Annotation of Textual Process Descriptions Based on Formal Meaning Representations. - Lars Ackermann; Julian Neuberger; Stefan Jablonski (CAiSE, 2021)

Language-independent look-ahead for checking multi-perspective declarative process models. - Martin Käppel; Lars Ackermann; Stefan Schönig; Stefan Jablonski (Softw. Syst. Model., 2021)

Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques. - Lars Ackermann; Julian Neuberger; Martin Käppel; Stefan Jablonski (CAiSE, 2023)

Beyond Rule-Based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text. - Julian Neuberger; Lars Ackermann; Stefan Jablonski (CoopIS, 2023)

Comparing the Expressiveness of Imperative and Declarative Process Models. - Nicolai Schützenmeier; Stefan Jablonski; Martin Käppel; Lars Ackermann (MOBA, 2023)

Automaton-based comparison of Declare process models. - Nicolai Schützenmeier; Martin Käppel; Lars Ackermann; Stefan Jablonski; Sebastian Petter (Softw. Syst. Model., 2023)

Correction: Automaton-based comparison of Declare process models. - Nicolai Schützenmeier; Martin Käppel; Lars Ackermann; Stefan Jablonski; Sebastian Petter (Softw. Syst. Model., 2023)

Attention Please: What Transformer Models Really Learn for Process Prediction. - Martin Käppel; Lars Ackermann; Stefan Jablonski; Simon Härtl (BPM, 2024)

Leveraging Data Augmentation for Process Information Extraction. - Julian Neuberger; Leonie Doll; Benedikt Engelmann; Lars Ackermann; Stefan Jablonski (BPMDS/EMMSAD@CAiSE, 2024)

Assisted Data Annotation for Business Process Information Extraction from Textual Documents. - Julian Neuberger; Han van der Aa; Lars Ackermann; Daniel Buschek; Jannic Herrmann; Stefan Jablonski (CoopIS, 2024)

A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models. - Julian Neuberger; Lars Ackermann; Han van der Aa; Stefan Jablonski (ER, 2024)

Recent Advances in Data-Driven Business Process Management. - Lars Ackermann; Martin Käppel; Laura Marcus; Linda Moder; Sebastian Dunzer; Markus Hornsteiner; Annina Liessmann; Yorck Zisgen; Philip Empl; Lukas-Valentin Herm; Nicolas Neis; Julian Neuberger; et al. (CoRR, 2024)