Multi-Attribute Relation Extraction (MARE): Simplifying the Application of Relation Extraction

Lars Klöser, Philipp Kohl, Bodo Kraft, Albert Zündorf

2021

Abstract

Natural language understanding’s relation extraction makes innovative and encouraging novel business concepts possible and facilitates new digitilized decision-making processes. Current approaches allow the extraction of relations with a fixed number of entities as attributes. Extracting relations with an arbitrary amount of attributes requires complex systems and costly relation-trigger annotations to assist these systems. We introduce multi-attribute relation extraction (MARE) as an assumption-less problem formulation with two approaches, facilitating an explicit mapping from business use cases to the data annotations. Avoiding elaborated annotation constraints simplifies the application of relation extraction approaches. The evaluation compares our models to current state-of-the-art event extraction and binary relation extraction methods. Our approaches show improvement compared to these on the extraction of general multi-attribute relations.

Paper Citation

in Harvard Style

Klöser L., Kohl P., Kraft B. and Zündorf A. (2021). Multi-Attribute Relation Extraction (MARE): Simplifying the Application of Relation Extraction. In Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA, ISBN 978-989-758-526-5, pages 148-156. DOI: 10.5220/0010559201480156

in Bibtex Style

@conference{delta21,
author={Lars Klöser and Philipp Kohl and Bodo Kraft and Albert Zündorf},
title={Multi-Attribute Relation Extraction (MARE): Simplifying the Application of Relation Extraction},
booktitle={Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,},
year={2021},
pages={148-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010559201480156},
isbn={978-989-758-526-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,
TI - Multi-Attribute Relation Extraction (MARE): Simplifying the Application of Relation Extraction
SN - 978-989-758-526-5
AU - Klöser L.
AU - Kohl P.
AU - Kraft B.
AU - Zündorf A.
PY - 2021
SP - 148
EP - 156
DO - 10.5220/0010559201480156