Making Efficient Use of a Domain Expert's Time in Relation Extraction. - Linara Adilova; Sven Giesselbach; Stefan Rüping 001 (CoRR, 2018)

Corresponding Projections for Orphan Screening. - Sven Giesselbach; Katrin Ullrich; Michael Kamp; Daniel Paurat; Thomas Gärtner 001 (CoRR, 2018)

Improving Word Embeddings Using Kernel PCA. - Vishwani Gupta; Sven Giesselbach; Stefan Rüping 001; Christian Bauckhage (RepL4NLP@ACL, 2019)

Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Classification of Gait Using Machine Learning. - Johannes Burdack; Fabian Horst; Sven Giesselbach; Ibrahim Hassan; Sabrina Daffner; Wolfgang Immanuel Schöllhorn (CoRR, 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)

Supporting verification of news articles with automated search for semantically similar articles. - Vishwani Gupta; Katharina Beckh; Sven Giesselbach; Dennis Wegener; Tim Wirtz (ROMCIR@ECIR, 2021)

Introducing the NLU Showroom: A NLU Demonstrator for the German Language. - Dennis Wegener; Sven Giesselbach; Niclas Doll; Heike Horstmann (LDK, 2021)

Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency. - Eduardo Brito; Vishwani Gupta; Eric Hahn; Sven Giesselbach (KI, 2022)

Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media. - Gerhard Paaß; Sven Giesselbach (CoRR, 2023)

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)

Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media - Gerhard Paaß; Sven Giesselbach (Springer, 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)

Data Science with Foundation Models: An Evidence-Based, Comprehensive Project Methodology - Sven Giesselbach (2024)

From admission to discharge: a systematic review of clinical natural language processing along the patient journey. - Katrin Klug; Katharina Beckh; Dario Antweiler; Nilesh Chakraborty; Giulia Baldini 001; Katharina Laue; René Hosch; Felix Nensa; Martin Schuler; Sven Giesselbach (BMC Medical Informatics Decis. Mak., 2024)

From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. - Kamyar Arzideh; Henning Schäfer; Héctor Allende-Cid; Giulia Baldini 001; Thomas Hilser; Ahmad Idrissi-Yaghir; Katharina Laue; Nilesh Chakraborty; Niclas Doll; Dario Antweiler; Katrin Klug; Niklas Beck; et al. (Comput. Biol. Medicine, 2025)

Addressing a New Paradigm Shift in Data Science: An Empirical Study on Novel Project Characteristics for Foundation Model Projects. - Sven Giesselbach; Dennis Wegener; Lennard Helmer; Claudio Martens; Stefan Rüping 001 (IEEE Softw., 2025)