12 citations · 22 across the 5 of their papers we have counts for
8 papers
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer +3
Outcome prediction from clinical text can prevent doctors from overlooking possible risks and help hospitals to plan capacities. We simulate patients at admission time, when decisi…
VisBERT: Hidden-State Visualizations for Transformers
Betty van Aken, Benjamin Winter, Alexander Löser +1
Explainability and interpretability are two important concepts, the absence of which can and should impede the application of well-performing neural networks to real-world problems…
Learning Contextualized Document Representations for Healthcare Answer Retrieval
Sebastian Arnold, Betty van Aken, Paul Grundmann +2
We present Contextual Discourse Vectors (CDV), a distributed document representation for efficient answer retrieval from long healthcare documents. Our approach is based on structu…
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations
Betty van Aken, Benjamin Winter, Alexander Löser +1
Bidirectional Encoder Representations from Transformers (BERT) reach state-of-the-art results in a variety of Natural Language Processing tasks. However, understanding of their int…
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux +2
When searching for information, a human reader first glances over a document, spots relevant sections and then focuses on a few sentences for resolving her intention. However, the…
Crowd-Labeling Fashion Reviews with Quality Control
Iurii Chernushenko, Felix A. Gers, Alexander Löser +1
We present a new methodology for high-quality labeling in the fashion domain with crowd workers instead of experts. We focus on the Aspect-Based Sentiment Analysis task. Our method…