As large language models (LLMs) like OpenAI's GPT series continue to mak...
This paper presents medBERTde, a pre-trained German BERT model specifica...
The use of deep neural models for diagnosis prediction from clinical tex...
Clinical phenotyping enables the automatic extraction of clinical condit...
Decision support systems based on clinical notes have the potential to
i...
Retrieving answer passages from long documents is a complex task requiri...
Physical data layout is an important performance factor for modern datab...
Outcome prediction from clinical text can prevent doctors from overlooki...
Explainability and interpretability are two important concepts, the abse...
We present Contextual Discourse Vectors (CDV), a distributed document
re...
We generalize the tree doubling and Christofides algorithm, the two most...
Bidirectional Encoder Representations from Transformers (BERT) reach
sta...
When searching for information, a human reader first glances over a docu...
Toxic comment classification has become an active research field with ma...
We present a novel architecture, In-Database Entity Linking (IDEL), in w...
We report results on benchmarking Open Information Extraction (OIE) syst...
Named entity recognition often fails in idiosyncratic domains. That caus...