Papers by Andreas Säuberli
Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze (2025.emnlp-main)
Copied to clipboard
Özge Alacam, Sanne Hoeken, Andreas Säuberli, Hannes Gröner, Diego Frassinelli, Sina Zarrieß, Barbara Plank
| Challenge: | Variation is inherent in opinion-based annotation tasks like sentiment or hate speech analysis. |
| Approach: | They propose to use annotators' confidence ratings to disentangle subjective variation from uncertainty without relying on specific features present in the data. |
| Outcome: | The proposed approach shows that human gaze patterns offer valuable indicators of subjective evaluation and uncertainty. |
A Corpus for Automatic Readability Assessment and Text Simplification of German (2020.lrec-1)
Copied to clipboard
| Challenge: | Using monolingual-only data, we can automate readability assessment and text simplification of simplified language. |
| Approach: | They present a corpus for automatic readability assessment and automatic text simplification for German using parallel and monolingual data. |
| Outcome: | The proposed corpus is compiled from web sources and contains information on text structure, typography, font style, and images. |
Controlling Reading Ease with Gaze-Guided Text Generation (2026.eacl-long)
Copied to clipboard
| Challenge: | Using a gaze-based model, we generate texts with controllable reading ease. |
| Approach: | They propose a method that predicts gaze patterns to steer language model outputs towards eliciting certain reading behaviors by predicting eye-tracking measures. |
| Outcome: | The proposed method generates texts with controllable reading ease using eye-tracking with native and non-native speakers of English. |