Orchestrating NLP Services for the Legal Domain

Julian Moreno-Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodriguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, Filippo Maganza


Abstract
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.
Anthology ID:
2020.lrec-1.284
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2332–2340
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.284
DOI:
Bibkey:
Cite (ACL):
Julian Moreno-Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodriguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, and Filippo Maganza. 2020. Orchestrating NLP Services for the Legal Domain. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 2332–2340, Marseille, France. European Language Resources Association.
Cite (Informal):
Orchestrating NLP Services for the Legal Domain (Moreno-Schneider et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.284.pdf