Benchmarking data-driven automatic text simplification for German A Säuberli, S Ebling, M Volk Proceedings of the 1st workshop on tools and resources to empower people …, 2020 | 34 | 2020 |
A new dataset and efficient baselines for document-level text simplification in German AR Gonzales, N Spring, T Kew, M Kostrzewa, A Säuberli, M Müller, ... Proceedings of the Third Workshop on New Frontiers in Summarization, 152-161, 2021 | 15 | 2021 |
Automatic text simplification for German S Ebling, A Battisti, M Kostrzewa, D Pfütze, A Rios, A Säuberli, N Spring Frontiers in Communication 7, 706718, 2022 | 13 | 2022 |
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models P Haller, A Säuberli, SE Kiener, J Pan, M Yan, L Jäger arXiv preprint arXiv:2210.09819, 2022 | 7 | 2022 |
Enabling text comprehensibility assessment for people with intellectual disabilities using a mobile application A Säuberli, S Hansen-Schirra, F Holzknecht, S Gutermuth, S Deilen, ... Frontiers in Communication 8, 1175625, 2023 | 3 | 2023 |
LauSAn at eRisk 2022: Simply and effectively optimizing text classification for early detection A Säuberli, S Cho, L Stahlhut Working Notes of CLEF, 5-8, 2022 | 1 | 2022 |
Measuring text comprehension for people with reading difficulties using a mobile application A Säuberli Proceedings of the 23rd International ACM SIGACCESS Conference on Computers …, 2021 | 1 | 2021 |
Measuring Reading Comprehension and Text Comprehensibility Using a Touchscreen Application A Säuberli University of Zurich, 2021 | 1 | 2021 |
Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities A Säuberli, F Holzknecht, P Haller, S Deilen, L Schiffl, S Hansen-Schirra, ... Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-11, 2024 | | 2024 |
Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models A Säuberli, S Clematide arXiv preprint arXiv:2404.07720, 2024 | | 2024 |
Automatic Generation and Evaluation of Multiple-Choice Reading Comprehension Items with Large Language Models A Säuberli University of Zurich, 2023 | | 2023 |