Papers by Elisabeth Fischer
Assessing the State of the Art in Scene Segmentation (2025.naacl-long)
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| Challenge: | Recent advances in scene segmentation have made it difficult to detect scenes in literary texts. |
| Approach: | They propose to modify existing models to improve detection of scenes in literary texts . they propose to use a training sample generation scheme to alleviate this problem . |
| Outcome: | The proposed model is more robust to different types of texts, while its overall performance is slightly worse than that of BERT-based models. |
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains (P19-1)
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Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych
| Challenge: | Existing deep learning methods require large amounts of training data to achieve reasonable performance. |
| Approach: | They propose to generate automatic annotation suggestions for a discourse-level sequence labelling task that requires extensive domain expertise. |
| Outcome: | The proposed model improves with newly annotated texts while introducing no biases. |
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning (D19-3)
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Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych
| Challenge: | Existing systems for technologyenhanced learning address skills on recalling, explaining, and applying knowledge, e.g., in automatically generated language learning exercises and math word problems. |
| Approach: | They propose to leverage a NLP model to support experts in their further data annotation with automatic suggestions and provide automatic feedback for students. |
| Outcome: | The proposed system improves on two user studies on diagnostic reasoning in medicine and teacher education and can be extended to further use cases. |
AnnoPlot: Interactive Visualizations of Text Annotations (2024.eacl-demo)
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| Challenge: | Annotation projects face challenges in data quality and validity, authors argue . |
| Approach: | They propose an open-source web application that analyzes, manages, and visualizes annotated text data. |
| Outcome: | The proposed application is open-source and promotes transparency and user control . it offers comprehensive views of span annotations and category systems without training or classification model . |