8 papers
DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
Roland Roller, Vera Czehmann, Derya Erman +13
Conversational data collected in domains such as healthcare or social sciences is a valuable resource for research and automated analysis. However, responsible data sharing require…
MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal Identifiers
Ibrahim Baroud, Christoph Otto, Vera Czehmann +4
Accessing sensitive patient data for machine learning is challenging due to privacy concerns. Datasets with annotations of personally identifiable information are crucial for devel…
Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes
Johann Frei, Nils Feldhus, Lisa Raithel +3
For clinical data integration and healthcare services, the HL7 FHIR standard has established itself as a desirable format for interoperability between complex health data. Previous…
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts
Ibrahim Baroud, Lisa Raithel, Sebastian Möller +1
Sharing sensitive texts for scientific purposes requires appropriate techniques to protect the privacy of patients and healthcare personnel. Anonymizing textual data is particularl…
Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates
Dorothea MacPhail, David Harbecke, Lisa Raithel +1
An adverse drug effect (ADE) is any harmful event resulting from medical drug treatment. Despite their importance, ADEs are often under-reported in official channels. Some research…
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
Bhuvanesh Verma, Lisa Raithel
The NLI4CT task at SemEval-2024 emphasizes the development of robust models for Natural Language Inference on Clinical Trial Reports (CTRs) using large language models (LLMs). This…
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada +11
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However,…
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Lisa Raithel, Philippe Thomas, Roland Roller +3
In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content. The data consists of 4,169 binary annotated documents from…