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Found 5 papers, 4 papers with code
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient’s Perspective
In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content.
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
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).
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content.
Neural Vector Conceptualization for Word Vector Space Interpretation
Distributed word vector spaces are considered hard to interpret which hinders the understanding of natural language processing (NLP) models.
