NFDI4DS Shared Tasks for Scholarly Document Processing
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arXiv
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| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908560959471616 |
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| author | Ahmad, Raia Abu Abdulla, Rana Taffa, Tilahun Abedissa Auer, Soeren Giglou, Hamed Babaei Borisova, Ekaterina Chen, Zongxiong Dietze, Stefan DSouza, Jennifer Elwes, Mayra Gesese, Genet-Asefa Jiang, Shufan Kutafina, Ekaterina Mayr, Philipp Rehm, Georg Sadruddin, Sameer Schimmler, Sonja Schneider, Daniel Silva, Kanishka Upadhyaya, Sharmila Usbeck, Ricardo |
| author_facet | Ahmad, Raia Abu Abdulla, Rana Taffa, Tilahun Abedissa Auer, Soeren Giglou, Hamed Babaei Borisova, Ekaterina Chen, Zongxiong Dietze, Stefan DSouza, Jennifer Elwes, Mayra Gesese, Genet-Asefa Jiang, Shufan Kutafina, Ekaterina Mayr, Philipp Rehm, Georg Sadruddin, Sameer Schimmler, Sonja Schneider, Daniel Silva, Kanishka Upadhyaya, Sharmila Usbeck, Ricardo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_22141 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | NFDI4DS Shared Tasks for Scholarly Document Processing Ahmad, Raia Abu Abdulla, Rana Taffa, Tilahun Abedissa Auer, Soeren Giglou, Hamed Babaei Borisova, Ekaterina Chen, Zongxiong Dietze, Stefan DSouza, Jennifer Elwes, Mayra Gesese, Genet-Asefa Jiang, Shufan Kutafina, Ekaterina Mayr, Philipp Rehm, Georg Sadruddin, Sameer Schimmler, Sonja Schneider, Daniel Silva, Kanishka Upadhyaya, Sharmila Usbeck, Ricardo Computation and Language 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. |
| title | NFDI4DS Shared Tasks for Scholarly Document Processing |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2509.22141 |