Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Obtaining text datasets with semantic annotations is an effortful process, yet crucial for
supervised training in natural language processing (NLP). In general, developing and …

Abstract Objective We present the Berlin-Tübingen-Oncology corpus (BRONCO), a large
and freely available corpus of shuffled sentences from German oncological discharge …

We present a statistical model, GERNERMED++, for German medical natural language
processing trained for named entity recognition (NER) as an open, publicly available model …

TBase is an electronic health record (EHR) for kidney transplant recipients (KTR) combining
automated data entry of key clinical data (eg, laboratory values, medical reports, radiology …

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 …

An important subtask in clinical text mining tries to identify whether a clinical finding is
expressed as present, absent or unsure in a text. This work presents a system for detecting …

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 …