Scalable Processing of Text Material from the Clinical Domain



Richard Zowalla, Heilbronn University

Martin Wiesner, Heilbronn University

Day: Friday, September 11

Length of tutorial: full day

Technical level: medium


The tutorial will introduce modern approaches of scaling classical
Natural Language Processing (NLP) applications via clustered computing resources. The tutorial will make use of open source frameworks and teach participants basic concepts of Stream Processing and the development with these frameworks.

Experience with the programming language Java or with a similar high-level programming language is required. Moreover, experience with automated build tools (e.g. Apache Maven), distributed systems, and basic knowledge on working with Linux systems is a plus. Participants are required to bring an up to date laptop with sufficient capacity, i.e. modern CPU and RAM (>=4GB).

Local Organizer:

Institute of Biometry and Clinical Epidemiology
Charité - Universitätsmedizin Berlin & Berlin Institute of Health