ZORA Publication List

Publications

• 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
• Säuberli, A., Holzknecht, F., Haller, P., Deilen, S., Schiffl, L., Hansen-Schirra, S., & Ebling, S. (2024). Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities (CHI ’24). 527. https://doi.org/10.1145/3613904.3642570
• Säuberli, A., & Clematide, S. (2024). Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models 22–37. https://aclanthology.org/2024.readi-1.3
• Carrer, L., Säuberli, A., Kappus, M., & Ebling, S. (2024). Towards Holistic Human Evaluation of Automatic Text Simplification 71–80. https://aclanthology.org/2024.humeval-1.7
• Säuberli, A. (2023). Automatic Generation and Evaluation of Multiple-Choice Reading Comprehension Items with Large Language Models (Master’s thesis, University of Zurich) https://doi.org/10.5167/uzh-278430
• Säuberli, A., Hansen-Schirra, S., Holzknecht, F., Gutermuth, S., Deilen, S., Schiffl, L., & Ebling, S. (2023). Enabling text comprehensibility assessment for people with intellectual disabilities using a mobile application Frontiers in Communication, 8, 1175625. https://doi.org/10.3389/fcomm.2023.1175625
• Haller, P., Säuberli, A., Kiener, S. E., Pan, J., Yan, M., & Jäger, L. A. (2022). Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models Proceedings of the Workshop on Text Simplification, Accessibility, and Readability, 111–118. https://aclanthology.org/2022.tsar-1.10/
• Ebling, S., Battisti, A., Kostrzewa, M., Pfütze, D., Rios, A., Säuberli, A., & Spring, N. (2022). Automatic Text Simplification for German Frontiers in Communication, 7, 706718. https://doi.org/10.3389/fcomm.2022.706718
• Rios, A., Spring, N., Kew, T., Kostrzewa, M., Säuberli, A., Müller, M., & Ebling, S. (2021). A New Dataset and Efficient Baselines for Document-level Text Simplification in German 152–161. https://aclanthology.org/2021.newsum-1.16
• Säuberli, A. (2021, October 17). Measuring Text Comprehension for People with Reading Difficulties Using a Mobile Application (No. 103). Article 103. ASSETS ’21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Virtual Event USA. https://doi.org/10.1145/3441852.3476474
• Battisti, A., Pfütze, D., Säuberli, A., Kostrzewa, M., & Ebling, S. (2020, May 16). A Corpus for Automatic Readability Assessment and Text Simplification of German 12th Edition of its Language Resources and Evaluation Conference, Marseille. https://www.aclweb.org/anthology/2020.lrec-1.404.pdf
• Säuberli, A., Ebling, S., & Volk, M. (2020). Benchmarking Data-driven Automatic Text Simplification for German In N. Gala & R. Wilkens (Eds.), Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) (pp. 41–48). European Language Resources Association. https://www.aclweb.org/anthology/2020.readi-1.7