E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. - Clemens Havas; Bernd Resch; Chiara Francalanci; Barbara Pernici; Gabriele Scalia; Jose Luis Fernandez-Marquez; Tim Van Achte; Gunter Zeug; Maria Rosa (Rosy) Mondardini; Domenico Grandoni; Birgit Kirsch; Milan Kalas; et al. (Sensors, 2017)

Towards Automated Auditing with Machine Learning. - Rafet Sifa; Anna Ladi; Maren Pielka; Rajkumar Ramamurthy; Lars Patrick Hillebrand; Birgit Kirsch; David Biesner; Robin Stenzel; Thiago Bell; Max Lübbering; Ulrich Nütten; Christian Bauckhage; et al. (DocEng, 2019)

Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic. - Birgit Kirsch; Zamira Niyazova; Michael Mock; Stefan Rüping 001 (PKDD/ECML Workshops (2), 2019)

Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. - Birgit Kirsch; Sven Giesselbach; Timothée Schmude; Malte Völkening; Frauke Rostalski; Stefan Rüping 001 (LWDA, 2020)

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. - Laura von Rüden; Sebastian Mayer; Katharina Beckh; Bogdan Georgiev; Sven Giesselbach; Raoul Heese; Birgit Kirsch; Julius Pfrommer; Annika Pick; Rajkumar Ramamurthy; Michal Walczak; Jochen Garcke; et al. (IEEE Trans. Knowl. Data Eng., 2023)

SKIE-SRL: Structured Key Information Extraction from Business Documents Using Statistical Relational Learning. - Birgit Kirsch; Xiang Yu; Nilesh Chakraborty; Niclas Doll; Sven Giesselbach; Stefan Rüping 001 (LOD (2), 2024)

PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction. - Birgit Kirsch; Héctor Allende-Cid; Stefan Rüping 001 (ACL (Findings), 2025)

Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical Engineering. - Claudio Martens; Hammam Abdelwahab; Katharina Beckh; Birgit Kirsch; Vishwani Gupta; Steffen Hoh; Dennis Wegener (SEIP@ICSE, 2025)