Papers by Jonathan Fürst
TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action (2026.findings-eacl)
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| Challenge: | Humanitarian Mine Action (HMA) authorities publish large amount of life-saving operational knowledge, but much remains locked away in unstructured reports. |
| Approach: | They propose a dataset, evaluation framework and ontology-guided large language model pipeline for knowledge extraction from text in the HMA domain. |
| Outcome: | The proposed framework improves extraction accuracy by 44.2% and reduces hallucinations by 22.5% . the proposed framework can be used to analyze human-annotated triples and an LLM-as-Judge protocol . |
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs (2025.findings-emnlp)
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| Challenge: | a new open-source layout-aware IE test suite is available for download at https://github.com/gayecolakoglu/layIE-LLM. |
| Approach: | They propose an open-source layout-aware IE test suite that provides a layout-based IE pipeline. |
| Outcome: | The proposed method achieves 13.3–37.5 F1 points more than a baseline configuration using the same LLM. |