Explaining Metaphors in the French Language by Solving Analogies using a Knowledge Graph - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2024

Explaining Metaphors in the French Language by Solving Analogies using a Knowledge Graph

Abstract

An analogy is a relation which operates between two pairs of terms representing two distant domains. It operates by transferring meaning from a concept that is known to another that one would like to clarify or define. In this report, we address analogy both from the aspect of modeling and by automatically explaining it. We will then propose a system of resolution of analogical equations in their notation in symbol chains. The model, based on the common sense knowledge base JeuxDeMots (a semantic network), operates by generating a list of potential candidates from which it chooses the most suitable solution. We conclude by evaluating our model on a collection of equations, and reflecting upon future work.
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Dates and versions

lirmm-04643561 , version 1 (10-07-2024)

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Public Domain

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Jérémie Roux, Hani Guenoune, Mathieu Lafourcade, Richard Moot. Explaining Metaphors in the French Language by Solving Analogies using a Knowledge Graph. TSD 2024 - 27th International Conference on Text, Speech and Dialogue, Faculty of Informatics Masaryk University; Faculty of Applied Sciences University of West Bohemia, Sep 2024, Brno, Czech Republic. pp.40-50/1196, ⟨10.1007/978-3-031-70563-2_4⟩. ⟨lirmm-04643561⟩
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