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Auflistung nach Autor:in "Borisova, Ekaterina"

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  • Konferenzbeitrag
    NFDI4DS Shared Tasks
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Abu Ahmad, Raia; Borisova, Ekaterina; Rehm, Georg; Dietze, Stefan; Kamakar, Saurav; Otto, Wolfgang; D’Souza, Jennifer; Limani, Fidan; Usbeck, Ricardo
    Shared tasks have proven to be successful in proposing innovative solutions for challenging research problems. The NFDI4DS consortium plans to host various shared tasks to tackle problems under the umbrella of scholarly information processing. We discuss three shared tasks in detail: Field of Research Classification, Software Mention Detection, and Tracking State-of-the-Art in Empirical AI. We also briefly mention other shared tasks planned to be released in the future.
  • Konferenzbeitrag
    NFDI4DS Transfer and Application
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Borisova, Ekaterina; Abu Ahmad, Raia; Rehm, Georg; Usbeck, Ricardo; D’Souza, Jennifer; Stocker, Markus; Auer, Sören; Gilsbach, Judith; Wolschewski, Anastasia; Keller, Johannes; Schneider, Daniel; Neumuth, Thomas; Schimmler, Sonja
    Due to the ever increasing importance of Data Science and Artificial Intelligence methods for a wide range of scientific disciplines, ensuring transparency and reproducibility of DS and AI methods and research findings have become essential. The NFDI4DS project promotes the findability, accessibility, interoperability, and reusability in DS and AI by developing an open integrated research data infrastructure in which all artefacts (e. g., papers, code, models, datasets) will be interlinked in a FAIR and transparent way. One of the key aspects is to build a bridge between NFDI4DS and other research communities which actively apply DS and AI methods. This paper describes the main actions taken to engage with the relevant (sub)communities.