Julian Neuberger

According to our database, Julian Neuberger authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Repeat, reorder, rephrase: data augmentation for process information extraction.

Julian Neuberger, Lars Ackermann, Stefan Jablonski

Softw. Syst. Model., April, 2026

Extracting Formal Process Model Information from Natural Language Text Descriptions using Machine Learning.

Julian Neuberger

PhD thesis, 2026

Enabling Small Language Models for Text-to-Process Extraction: Balancing Accuracy and Efficiency Through Distant Supervision.

Julian Neuberger, Han van der Aa, Ivan Khrop, Hugo A. López

Proceedings of the Advanced Information Systems Engineering, 2026

2025

FairLoop: Software Support for Human‑Centric Fairness in Predictive Business Process Monitoring.

Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski

Proceedings of the Joint Proceedings of the Best Dissertation Award, 2025

A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring.

Martin Käppel, Julian Neuberger, Felix Möhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski

Proceedings of the Business Process Management - 23rd International Conference, 2025

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, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann

CoRR, 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

Proceedings of the Conceptual Modeling - 43rd International Conference, 2024

TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data.

Julian Neuberger, Jannic Herrmann, Martin Käppel, Han van der Aa, Stefan Jablonski

Proceedings of the Cooperative Information Systems - 30th International Conference, 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

Proceedings of the Cooperative Information Systems - 30th International Conference, 2024

Leveraging Data Augmentation for Process Information Extraction.

Julian Neuberger, Leonie Doll, Benedikt Engelmann, Lars Ackermann, Stefan Jablonski

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2024

2023

Beyond Rule-Based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text.

Julian Neuberger, Lars Ackermann, Stefan Jablonski

Proceedings of the Cooperative Information Systems - 29th International Conference, 2023

Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques.

Lars Ackermann, Julian Neuberger, Martin Käppel, Stefan Jablonski

Proceedings of the Advanced Information Systems Engineering, 2023

2021

Data-Driven Annotation of Textual Process Descriptions Based on Formal Meaning Representations.

Lars Ackermann, Julian Neuberger, Stefan Jablonski

Proceedings of the Advanced Information Systems Engineering, 2021