Prof. Dr. Josef van Genabith

Head of the Research Department Multilinguality and Language Technology

Contact +49 681 85775 5287 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 2Stuhlsatzenhausweg 366123 Saarbrücken

Publications

Cross-Lingual Fact Verification: Analyzing LLMs Performance Patterns Across Languages
Hanna Shcharbakova; Tatiana Anikina; Natalia Skachkova; Josef van Genabith
In: Recent Advanced in Natural Language Processing. International Conference on Recent Advances in Natural Language Processing (RANLP-2025), September 8-10, Varna, Bulgaria, Association for Computational Linguistics, 9/2025.
When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification
Hanna Shcharbakova; Tatiana Anikina; Natalia Skachkova; Josef van Genabith
In: Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER). Workshop on Fact Extraction and Verification (FEVER-2025), located at ACL, July 31, Vienna, Austria, Association for Computational Linguistics, 7/2025.
AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models
Sayed Muddashir Hossain; Simon Ostermann; Patrick Gebhard; Josef van Genabith; Cord Benecke; Philipp Müller
In: Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025). Workshop on Computational Linguistics and Clinical Psychology (CLPsych-2025), located at NAACL 2025, May 3, Albuquerque, New Mexico, USA, Pages 12-25, ISBN 979-8-89176-226-8, Association for Computational Linguistics, 2025.

TRAILS
Trustworthy and Inclusive Machines
Natural language processing (NLP) has demonstrated impressive performance in some human tasks. To achieve such performance, current neural models need to be pre-trained on huge amounts of raw text…
EUC PT
EU Council Presidency Translator
Language is an essential part of our lives – we use it to share information, to describe our feelings, to discuss with others or to pass on knowledge to the next generations. It is a vital component…
DEEPLEE
Tiefes Lernen für End-to-End-Anwendungen in der Sprachtechnologie
The research work in DEEPLEE, which is carried out in the Language Technology research departments in Saabrücken and Berlin, builds on DFKI's expertise in the areas of "deep learning" (DL) and…
QT21
QT21: Quality Translation 21
A European Digital Single Market free of barriers, including language barriers, is a stated EU objective to be achieved by 2020. The findings of the META-NET Language White Papers show that currently…