Pith. sign in

REVIEW

Orchestrating NLP Services for the Legal Domain

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2003.12900 v1 pith:QGFEMGW4 submitted 2020-03-28 cs.CL cs.AI

Julián Moreno-Schneider , Georg Rehm , Elena Montiel-Ponsoda , Víctor Rodriguez-Doncel , Artem Revenko , Sotirios Karampatakis , Maria Khvalchik , Christian Sageder
show 2 more authors
Jorge Gracia Filippo Maganza
This is my paper · ORCID
classification cs.CLcs.AI
keywords legalcontributioncurrentlydescribeservicesanglesattentioncases
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original 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.

Discussion (0). Continue with ORCID to comment.

Pith tools