109 citations · 229 across the 10 of their papers we have counts for
12 papers
MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou +6
As large language models (LLMs) like OpenAI's GPT series continue to make strides, we witness the emergence of artificial intelligence applications in an ever-expanding range of fi…
Self-supervised Answer Retrieval on Clinical Notes
Paul Grundmann, Sebastian Arnold, Alexander Löser
Retrieving answer passages from long documents is a complex task requiring semantic understanding of both discourse and document context. We approach this challenge specifically in…
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…
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
Betty van Aken, Julian Risch, Ralf Krestel +1
Toxic comment classification has become an active research field with many recently proposed approaches. However, while these approaches address some of the task's challenges other…
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…
IDEL: In-Database Entity Linking with Neural Embeddings
Torsten Kilias, Alexander Löser, Felix A. Gers +3
We present a novel architecture, In-Database Entity Linking (IDEL), in which we integrate the analytics-optimized RDBMS MonetDB with neural text mining abilities. Our system design…
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe
Alessandro Checco, Gianluca Demartini, Alexander Loeser +7
A core business in the fashion industry is the understanding and prediction of customer needs and trends. Search engines and social networks are at the same time a fundamental brid…
Analysing Errors of Open Information Extraction Systems
Rudolf Schneider, Tom Oberhauser, Tobias Klatt +2
We report results on benchmarking Open Information Extraction (OIE) systems using RelVis, a toolkit for benchmarking Open Information Extraction systems. Our comprehensive benchmar…
Robust Named Entity Recognition in Idiosyncratic Domains
Sebastian Arnold, Felix A. Gers, Torsten Kilias +1
Named entity recognition often fails in idiosyncratic domains. That causes a problem for depending tasks, such as entity linking and relation extraction. We propose a generic and r…