NFDI4DS Shared Tasks for Scholarly Document Processing
Raia Abu Ahmad, Rana Abdulla, Tilahun Abedissa Taffa, Soeren Auer, Hamed Babaei Giglou, Ekaterina Borisova, Zongxiong Chen, Stefan Dietze, Jennifer DSouza, Mayra Elwes, Genet-Asefa Gesese, Shufan Jiang, Ekaterina Kutafina, Philipp Mayr, Georg Rehm, Sameer Sadruddin, Sonja Schimmler, Daniel Schneider, Kanishka Silva, Sharmila Upadhyaya, Ricardo Usbeck
公開日: 2025/9/26
Abstract
Shared tasks are powerful tools for advancing research through community-based standardised evaluation. As such, they play a key role in promoting findable, accessible, interoperable, and reusable (FAIR), as well as transparent and reproducible research practices. This paper presents an updated overview of twelve shared tasks developed and hosted under the German National Research Data Infrastructure for Data Science and Artificial Intelligence (NFDI4DS) consortium, covering a diverse set of challenges in scholarly document processing. Hosted at leading venues, the tasks foster methodological innovations and contribute open-access datasets, models, and tools for the broader research community, which are integrated into the consortium's research data infrastructure.