136 citations · 158 across the 8 of their papers we have counts for
5 papers · 1 filter
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert +3
Saliency maps can explain a neural model's predictions by identifying important input features. They are difficult to interpret for laypeople, especially for instances with many fe…
A Medical Information Extraction Workbench to Process German Clinical Text
Roland Roller, Laura Seiffe, Ammer Ayach +9
Background: In the information extraction and natural language processing domain, accessible datasets are crucial to reproduce and compare results. Publicly available implementatio…
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…
A Transfer Learning Based Model for Text Readability Assessment in German
Salar Mohtaj, Babak Naderi, Sebastian Möller +3
Text readability assessment has a wide range of applications for different target people, from language learners to people with disabilities. The fast pace of textual content produ…
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus, Ajay Madhavan Ravichandran, Sebastian Möller
The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this…