We present a workflow manager for the flexible creation and customisation of NLP processing pipelines. The workflow manager addresses challenges in interoperability across various different NLP tasks and hardware-based resource usage. Based on the four key principles of generality, flexibility, scalability and efficiency, we present the first version of the workflow manager by providing details on its custom definition language, explaining the communication components and the general system architecture and setup. We currently implement the system, which is grounded and motivated by real-world industry use cases in several innovation and transfer projects.
@article{arxiv.2004.14130,
title = {A Workflow Manager for Complex NLP and Content Curation Pipelines},
author = {Julián Moreno-Schneider and Peter Bourgonje and Florian Kintzel and Georg Rehm},
journal= {arXiv preprint arXiv:2004.14130},
year = {2020}
}
Comments
Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020). To appear