Legal technology is currently receiving a lot of attention from various angles. In this contribution we describe the main technical components of a system that is currently under development in the European innovation project Lynx, which includes partners from industry and research. The key contribution of this paper is a workflow manager that enables the flexible orchestration of workflows based on a portfolio of Natural Language Processing and Content Curation services as well as a Multilingual Legal Knowledge Graph that contains semantic information and meaningful references to legal documents. We also describe different use cases with which we experiment and develop prototypical solutions.
@article{arxiv.2003.12900,
title = {Orchestrating NLP Services for the Legal Domain},
author = {Julián Moreno-Schneider and Georg Rehm and Elena Montiel-Ponsoda and Víctor Rodriguez-Doncel and Artem Revenko and Sotirios Karampatakis and Maria Khvalchik and Christian Sageder and Jorge Gracia and Filippo Maganza},
journal= {arXiv preprint arXiv:2003.12900},
year = {2020}
}
Comments
Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear