Deborah N. Jakobi

Deborah N. Jakobi, M.A.

PhD Candidate
Digital Linguistics

Room number: AND 2.18

E-Mail

I am a final-year PhD student in Computational Linguistics, supervised by Lena A. Jäger and co-supervised by Rico Sennrich. I have a Master's degree in Computational Linguistics & Language Technology and Informatics from UZH.

My interests lie at the intersection of computational psycholinguistics and machine learning reserach. On the one hand this includes the development of new methods and tools to process, evaluate and analyse cognitive data and on the other hand implementing machine learning methods to predict reader or language properties from cognitive data, and how to use cognitive data to improve, evaluate and analyse machine learning methods.

Talks and Posters
Teaching
Teaching Assistance / Student Tutor

ZORA Publication List

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Publications

Jakobi, D. N., Reich, D. R., Prasse, P., & Jäger, L. A. (2025). Neural Additive Models Uncover Predictive Gaze Features in Reading Proceedings of the Symposium on Eye Tracking Research and Applications, 1–10. https://doi.org/10.1145/3715669.3723117
Krakowczyk, D. G., Reich, D. R., Säuberli, A., Škrjanec, I., Cretton, I. C. R., Jakobi, D. N., Nisioi, S., Prasse, P., & Jäger, L. A. (2025). The More the Merrier: Boost Your Dataset Visibility and Discover Eye-Tracking Datasets with pymovements (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 63). ACM Digital library. https://doi.org/10.1145/3715669.3726810
Jakobi, D. N., Stegenwallner-Schütz, M., Hollenstein, N., Ding, C., Kasperė, R., Matić Škorić, A., Pavlinušić Vilus, E., Frank, S., Müller, M.-L., Jensen De López, K. M., Kharlamov, N., Knudsen, H. B. S., Berzak, Y., Lion, E., Sekerina, I., Acarturk, C., ANSARI, M. F., Harezlak, K., Kasprowski, P., … Jäger, L. (2025). MultiplEYE: Creating a Multilingual Eye-Tracking-While-Reading Corpus (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 111). ACM Digital library. https://doi.org/10.1145/3715669.3726843
Brasser, J., Tschirner, C., Stegenwallner-Schütz, M., Jakobi, D. N., & Jäger, L. (2025). Predicting Children’s Reading Comprehension Through Eye Movements: Insights from Visual Search and Interpretable Machine Learning (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 116). ACM Digital library. https://doi.org/10.1145/3715669.3726844
Jakobi, D. N., Kern, T., Reich, D. R., Haller, P., & Jäger, L. (2025). PoTeC: a German Naturalistic Eye-Tracking-While-Reading Corpus Behavior Research Methods, 57, 211. https://doi.org/10.3758/s13428-024-02536-8
Jakobi, D. N., Krakowczyk, D. G., & Jäger, L. A. (2024). Reporting Eye-Tracking Data Quality: Towards a New Standard 1–3. https://doi.org/10.1145/3649902.3655658
Müller, M.-L., Kasperė, R., Jakobi, D. N., Bradshaw, L., Hollenstein, N., & Jäger, L. A. (2024). MultiplEYE Data Sharing Policy PsychArchives. https://doi.org/10.23668/psycharchives.14137
Müller, M.-L., Jakobi, D. N., Kasperė, R., Hollenstein, N., Jäger, L. A., & Stegenwallner-Schütz, M. (2024). Data Management Plan (DMP) for COST Action “MultiplEYE” (CA21131). Leibniz-Institut für Psychologie. https://doi.org/10.23668/psycharchives.14081
Bolliger, L. S., Reich, D. R., Haller, P., Jakobi, D. N., Prasse, P., & Jäger, L. A. (2023). ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts (H. Bouamor, J. Pino, & K. Bali, Eds.; pp. 15513–15538). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.960
Krakowczyk, D. G., Reich, D. R., Chwastek, J., Jakobi, D. N., Prasse, P., Süss, A., Turuta, O., Kasprowski, P., & Jäger, L. A. (2023). pymovements: A Python Package for Eye Movement Data Processing (E. Kasneci, F. Shic, & M. Khamis, Eds.; p. 53). ACM Digital library. https://doi.org/10.1145/3588015.3590134

Talks and Posters

MultiplEYE: A multi-lab effort to establish new standards for the collection and pre-processing of multi-lingual eyetracking-while-reading data, X-PPL 2023 (talk)
Deborah N. Jakobi, Maroš Filip, Ramunė Kasperė, Nora Hollenstein, Lena A. Jäger & The MultiplEYE Team

The MultiplEYE Reading Corpus, X-PPL 2023 (poster)
Deborah N. Jakobi, Maroš Filip, Ramunė Kasperė, Nora Hollenstein, Lena A. Jäger & The MultiplEYE Team
[Poster Gallery ]

Teaching

Quantitative Methods, University of Zurich, Fall Semester 2024

This course introduces the basic concepts of statistical analysis as used in modern linguistics, covering data description and visualization as well as basic techniques of machine learning and modelling. The course also introduces the basic concepts of frequentist vs Bayesian approaches and the use of simulations and baseline models.

Course Overview

Summer School, University of Potsdam, August 2023

Teaching at the SFB 1287 Summer School at the University of Potsdamtogether with Prof. Dr. Lena A. Jäger and Shuwen Deng. We have been teaching on "Generating human-like Scanpaths in Reading using Deep Neural Sequence Models" specifically introducing Eyettention.

COST action training school, April 2023

Trainer at MultiplEYE COST action training school, April 26 - April 28, 2023, in Kaunas, Lithuania. My sessions were about running and implementing an eye-tracking experiment with Python specifically for researchers without programming experience.