| since 2019 | Research Associate at the Chair of Media Informatics in the Faculty of Information Systems and Applied Computer Sciences of the University of Bamberg |
| before | Studied Computational Linguistics with a minor in English and American Studies at FAU Erlangen-Nuremberg (Bachelor of Arts) and Computing in the Humanities at the University of Bamberg (Master of Science) |
Tuesdays, 9:00 a.m. to 10:00 a.m. via Microsoft Teams (advance registration by email is recommended)
I have set up a room in Teams for the consultation hour:
- In Teams, go to the “Teams” tab (usually on the left-hand side).
- There you will find the option “Join or create team” in the upper right corner. Select “Join team” and then “Join a team with a code (>>>m676scg<<<).”
Jegan, Robin/Henrich, Andreas (2025a): A Structured Literature Review on Traditional Approaches in Current Natural Language Processing. arXiv.
Jegan, Robin/Henrich, Andreas (2025b): Contrasting Traditional Models and LLMs: An Evaluation Based on Text Segmentation. In: Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops. Hannover: HsH Applied Academics. S. 274–281.
Lang, Aaron/Jegan, Robin/Henrich, Andreas (2025): Automatic Creation of Marginalia. In: Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers. Hannover: HsH Applied Academics. S. 228–240.
Fruth, Leon/Jegan, Robin/Henrich, Andreas (2024): An Approach towards Unsupervised Text Simplification on Paragraph-Level for German Texts. In: Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024. ELRA and ICCL. S. 77–89.
Henrich, Andreas/Gradl, Tobias/Jegan, Robin (2024): Suchwerkzeuge für Sammlungen: Herausforderungen, Trends und Strategien. In: Burschel, Peter et al. (Hg.): Forschen in Sammlungen: Dynamiken, Transformationen, Perspektiven. Göttingen: Wallstein. S. 57–77.
Jegan, Robin (2024): Observations in Students’ Theses: A Critical Analysis of Use-Cases, Models and Problems in Natural Language Processing. In: DH2024 Book of Abstracts. Zenodo. S. 307–308.
Jegan, Robin et al. (2023): Integrating Access to Authority Data for Improved Interoperability of Research Data in the Digital Humanities. In: Datenbanksysteme für Business, Technologie und Web (BTW 2023): 06.-10. März 2023 in Dresden, Deutschland. Gesellschaft für Informatik e.V. S. 829–836.
Eckart, Thomas et al. (2021a): CLARIAH-DE Cross-Service Search: Prospects and Benefits of Merging Subject-specific Services. Bamberg: Otto-Friedrich-Universität.
Eckart, Thomas et al. (2021b): CLARIAH-DE Cross-Service Search: Prospects and Benefits of Merging Subject-specific Services. Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen. (= DARIAH-DE working papers 41).
Eckart, Thomas et al. (2021c): CLARIAH-DE and the European Research Infrastructure Level. Genève: CERN. (= Watch Report 3 (AP4.5)).
Gradl, Tobias/Jegan, Robin (2021): Nachnutzung Git-basierter Sammlungen im Rahmen der Infrastrukturdienste von CLARIAH-DE. Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen. S. 1–37. (= DARIAH-DE working papers 42).
Henrich, Andreas/Jegan, Robin/Gradl, Tobias (2021): Data Retrieval. In: Putnings, Markus/Neuroth, Heike/Neumann, Jana (Hg.): Praxishandbuch Forschungsdatenmanagement. Berlin: De Gruyter Saur. S. 427–450.
Jegan, Robin/Gradl, Tobias/Henrich, Andreas (2020): Anforderungen an das Forschungsdatenmanagement an einer mittelgroßen Universität und Konzeption einer prototypischen Lösung. In: DHd 2020 Spielräume: Digital Humanities zwischen Modellierung und Interpretation; Konferenzabstracts. S. 274–275.
Engl, Felix/Jegan, Robin/Martin, Leon (2019): Autumn School for Information Retrieval and Information Foraging 2019. In: ACM SIGIR Forum 53.