loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Yetian Wang 1 ; Ramona Kühn 2 ; Randy Allen Harris 3 ; Jelena Mitrović 2 ; 4 and Michael Granitzer 2

Affiliations: 1 David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, Canada ; 2 Faculty of Computer Science and Mathematics, University of Passau, Innstraße 43, Passau, Germany ; 3 Department of English Language and Literature, University of Waterloo, 200 University Avenue West, Canada ; 4 Institute for Artificial Intelligence Research and Development of Serbia, Fruškogorska 1 21000 Novi Sad, Serbia

Keyword(s): Ontology, Rhetorical Figures, Knowledge Representation, Computational Rhetoric, Language Modelling.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.229.63.28

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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) - KEOD; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 117-127. DOI: 10.5220/0011524400003335

@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) - KEOD},
year={2022},
pages={117-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011524400003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD
TI - Towards a Unified Multilingual Ontology for Rhetorical Figures
SN - 978-989-758-614-9
IS - 2184-3228
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