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We present a workflow manager for the flexible creation and customisation ofNLP processing pipelines. The workflow manager addresses challenges ininteroperability across various different NLP tasks and hardware-based resourceusage. Based on the four key principles of generality, flexibility, scalabilityand efficiency, we present the first version of the workflow manager byproviding details on its custom definition language, explaining thecommunication components and the general system architecture and setup. Wecurrently implement the system, which is grounded and motivated by real-worldindustry use cases in several innovation and transfer projects.

A Workflow Manager for Complex NLP and Content Curation Pipelines