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Explaining Metaphors in the French Language by Solving Analogies using a Knowledge Graph
Jérémie Roux, Hani Guenoune, Mathieu Lafourcade, Richard Moot

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

Science & Mathematics Published 2024 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Explaining Metaphors in the French Language by Solving Analogies using a Knowledge Graph
Author / Organization Jérémie Roux, Hani Guenoune, Mathieu Lafourcade, Richard Moot
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-241366
Original Source Link Visit Source Page on hal.science »