Towards a Unified Multilingual Ontology for Rhetorical Figures

Yetian Wang, Ramona Kühn, Randy Allen Harris, Jelena Mitrović, Jelena Mitrović, Michael Granitzer

2022

Abstract

Formal ontologies for rhetorical figures have been developed to improve the computational detection for different applications in the area of Natural Language Processing, such as hate speech and fake news detection, argumentation mining, and sentiment analysis. The existing ontologies all model different aspects of rhetorical figures, thus creating a variety of formalisms and in the worst case, creating incompatibilities and contradictory representations. In this paper, we focus on figures of perfect lexical repetition and their representation in three ontologies in three different languages: The Ploke ontology, the Serbian RetFig, and the German GRhOOT ontology. We combine those ontologies to benefit from synergy effects and create a multilingual, coherent, robust, and modular ontology for rhetorical figures of perfect lexical repetition.

Paper Citation

in Harvard Style

Wang Y., Kühn R., Harris R., Mitrović J. and Granitzer M. (2022). Towards a Unified Multilingual Ontology for Rhetorical Figures. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 117-127. DOI: 10.5220/0011524400003335

in Bibtex Style

@conference{keod22,
author={Yetian Wang and Ramona Kühn and Randy Allen Harris and Jelena Mitrović and Michael Granitzer},
title={Towards a Unified Multilingual Ontology for Rhetorical Figures},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={117-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011524400003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Towards a Unified Multilingual Ontology for Rhetorical Figures
SN - 978-989-758-614-9
AU - Wang Y.
AU - Kühn R.
AU - Harris R.
AU - Mitrović J.
AU - Granitzer M.
PY - 2022
SP - 117
EP - 127
DO - 10.5220/0011524400003335
PB - SciTePress