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Solving Morphological Analogies Through Generation

Authors :
Chan, Kevin
Kaszefski-Yaschuk, Shane
Saran, Camille
Marquer, Esteban
Couceiro, Miguel
Institut des Sciences du Digital, Management et Cognition (IDMC)
Université de Lorraine (UL)
Knowledge representation, reasonning (ORPAILLEUR)
Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD)
Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Miguel Couceiro and Pierre-Alexandre Murena
ANR-22-CE23-0023,AT2TA,AT2TA - Analogies: de la Theorie aux ouTils et Applications(2022)
Inria Nancy - Grand Est
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Inria Project Lab 'Hybrid Approaches for Interpretable AI' (IPL HyAIAI)
GRID5000
European Project: 952215,TAILOR(2020)
Source :
IJCAI-ECAI Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML@IJCAI-ECAI 2022), IJCAI-ECAI Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML@IJCAI-ECAI 2022), Miguel Couceiro and Pierre-Alexandre Murena, Jul 2022, Vienna, Austria. pp.29-39
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

To be published in IARML@IJCAI22 workshop; This contribution is a first attempt to solving morphological analogies through generation, instead of relying on retrieval approaches. Our preliminary experiments show promising results for some languages and reveal the feasibility of the approach in generating solutions of analogical equations in the morphology setting.

Subjects

Subjects :
Analogy solving
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Morphological analogy
[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
[SCCO.LING]Cognitive science/Linguistics
Word generation
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Representation learning
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Details

Language :
English
Database :
OpenAIRE
Journal :
IJCAI-ECAI Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML@IJCAI-ECAI 2022), IJCAI-ECAI Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML@IJCAI-ECAI 2022), Miguel Couceiro and Pierre-Alexandre Murena, Jul 2022, Vienna, Austria. pp.29-39
Accession number :
edsair.dedup.wf.001..5ba801f339fe994ea33298395b793615

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