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Authors: Marcos Ruiz 1 ; Cristian Román 1 ; Ángel Garrido 2 and Eduardo Mena 2

Affiliations: 1 InSynergy Consulting S.A., Madrid, Spain ; 2 SID Research Group, IIS Department, University of Zaragoza, Zaragoza, Spain

ISBN: 978-989-758-423-7

Keyword(s): Optimization, Performance, Electronic Document Management System, Message Broker, NLP, Information Extraction.

Abstract: Nowadays, the huge number of documents which are managed through document management systems make their manual processing practically impossible. That is why the use of natural language processing subsystems that help to perform certain tasks begins to be essential for many commercial systems. Although its use is gradually extending to all levels, this type of subsystems presents the problem of its high requirements of resources from CPU and memory that can harm the entire system to which it intends to provide assistance. In this work, we propose and study an architecture based on microservices and message brokers which improves the performance of these NLP subsystems. We have implemented our approach on a real document management system, which performs intensive processes of language analysis on large legal documents. Experimental results show promising results, greatly increasing the productivity of systems based on other approaches.

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Paper citation in several formats:
Ruiz, M.; Román, C.; Garrido, Angel Luis and Mena, E. (2020). uAIS: An Experience of Increasing Performance of NLP Information Extraction Tasks from Legal Documents in an Electronic Document Management System.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 189-196. DOI: 10.5220/0009421201890196

@conference{iceis20,
author={Marcos Ruiz. and Cristian Román. and Garrido, Angel Luis and Eduardo Mena.},
title={uAIS: An Experience of Increasing Performance of NLP Information Extraction Tasks from Legal Documents in an Electronic Document Management System},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009421201890196},
isbn={978-989-758-423-7},
}

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - uAIS: An Experience of Increasing Performance of NLP Information Extraction Tasks from Legal Documents in an Electronic Document Management System
SN - 978-989-758-423-7
AU - Ruiz, M.
AU - Román, C.
AU - Garrido, Angel Luis
AU - Mena, E.
PY - 2020
SP - 189
EP - 196
DO - 10.5220/0009421201890196

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