Papers by Frank Kramer
GottBERT: a pure German Language Model (2024.emnlp-main)
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Raphael Scheible, Johann Frei, Fabian Thomczyk, Henry He, Patric Tippmann, Jochen Knaus, Victor Jaravine, Frank Kramer, Martin Boeker
| Challenge: | Pre-trained language models have advanced natural language processing (NLP) despite the introduction of BERT, single-language models are still relevant. |
| Approach: | They present a German singlelanguage RoBERT model pre-trained exclusively on the German portion of the OSCAR dataset. |
| Outcome: | The GottBERT model outperforms the existing models on Named Entity Recognition and text classification tasks. |
Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes (2026.eacl-demo)
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| Challenge: | HL7 FHIR format is a desirable format for clinical data integration and healthcare services. |
| Approach: | They propose an end-to-end framework that adheres to the HL7 FHIR document schema . it uses LLM agents, code execution, and healthcare terminology database tools . |
| Outcome: | The proposed framework adheres to the HL7 FHIR document schema and competes well with a human baseline in predicting FHIr resources from unstructured text. |