Filip Kovacevic
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Data Science, E194-04
Courses
Projects
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Designing an Annotation Framework for Creating a Health Dataset from Layperson Medical Forums in Bahasa Indonesia
2025 – 2026 / Austrian Exchange Service (OeAD)
Publication: 230351
Publications
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AnnoHID: LLM-Assisted Annotation Framework for Low-Resource Medical Texts
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Ningtyas, A. M., Herwanto, G. B., Sari, Y., Putri, R. A., Kovacevic, F., El-Ebshihy, A., Arzt, V., & Piroi, F. (2026). AnnoHID: LLM-Assisted Annotation Framework for Low-Resource Medical Texts. In G. Durrett & P. Jian (Eds.), Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (pp. 683–691). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.acl-demo.67
Project: ANOHID (2025–2026) - Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans / Miksa, T., Suchánek, M., Slifka, J., Knaisl, V., Ekaputra, F. J., Kovacevic, F., Ningtyas, A. M., El-Ebshihy, A. M., & Pergl, R. (2023). Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. Data Science Journal, 22, Article 28. https://doi.org/10.5334/dsj-2023-028
- OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting / Weise, M., Kovacevic, F., Popper, N., & Rauber, A. (2022). OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting. Data Science Journal, 21(1), 1–18. https://doi.org/10.5334/dsj-2022-004
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Designing a data citation framework for RDF* stores
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Kovacevic, F. (2021). Designing a data citation framework for RDF* stores [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.89424
Download: PDF (3.12 MB)
Supervisions
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Project partner extraction from research contracts
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Prisiazhniuk, A. (2026). Project partner extraction from research contracts [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.132974
Download: PDF (1.07 MB)