Papers by Melanie Siegel
GerDISDETECT: A German Multilabel Dataset for Disinformation Detection (2024.lrec-main)
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| Challenge: | Disinformation datasets are sparse and expensive to train . annotated datasets often have only binary or multiclass labels . |
| Approach: | They propose to use a textual dataset to detect disinformation in German . the dataset contains 39 multilabel classes with 5 top-level categories . |
| Outcome: | The proposed dataset provides comprehensive insights into disinformation in German using a taxonomy guided annotation scheme. |
A Preliminary Study of ChatGPT for Spanish E2R Text Adaptation (2024.lrec-main)
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| Challenge: | 16% of the world's population lacks literacy skills, according to the United Nations . |
| Approach: | They propose to use ChatGPT-4 to generate E2R text prompts and a checklist-based manual evaluation to evaluate 10 texts adapted by ChatGPt-4. |
| Outcome: | The proposed model is able to generate written language and adapt to LF in 10 texts. |