Please note: This PhD seminar will take place online.
Yetian Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Dan Berry, Grant Weddell
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.
To join this PhD seminar on Zoom, please go to https://uwaterloo.zoom.us/j/96268975542.
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