Recent advancements in natural language processing (NLP) have been achieved by the
use of increasingly complex neural networks. In clinical context, NLP is a key technique to …

The lack of publicly accessible text corpora is a major obstacle for progress in natural
language processing. For medical applications, unfortunately, all language communities …

Background Data mining in the field of medical data analysis often needs to rely solely on
the processing of unstructured data to retrieve relevant data. For German natural language …

Text mining and information extraction for the medical domain has focused on scientific text
generated by researchers. However, their direct access to individual patient experiences or …

Background: In the information extraction and natural language processing domain,
accessible datasets are crucial to reproduce and compare results. Publicly available …

We present DOPA METER, a tool suite for the metrical investigation of written language, that
provides diagnostic means for its division into discourse categories, such as registers …

We survey clinical document corpora, with focus on German textual data. Due to rigid data
privacy legislation in Germany these resources, with only few exceptions, are stored in safe …

Patients can not always completely understand medical documents given the myriad of
technical terms they contain. Automatic text simplification techniques can help, but they must …

Patients can not always completely understand medical documents given the myriad of
technical terms they contain. Automatic text simplification techniques can help, but they must …

Recent advances in deep learning have greatly improved the ability of researchers to
develop effective machine translation systems. In particular, the application of modern …