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Andreas Säuberli
Andreas Säuberli
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Jahr
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
342020
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
152021
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
132022
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
72022
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
32023
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
12022
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
12021
Measuring Reading Comprehension and Text Comprehensibility Using a Touchscreen Application
A Säuberli
University of Zurich, 2021
12021
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
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