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Poster communications

A Neural Approach for Detecting Morphological Analogies

Safa Alsaidi 1 Amandine Decker 2 Puthineath Lay 3 Esteban Marquer 1, * Pierre-Alexandre Murena 4 Miguel Couceiro 1 
* Corresponding author
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 SEMAGRAMME - Semantic Analysis of Natural Language
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 UL - Université de Lorraine
4 Aalto University
Keywords : morphological anaogy semantic analogy deep learning analogy classification
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Poster communications
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https://hal.inria.fr/hal-03328841
Contributor : Esteban Marquer Connect in order to contact the contributor
Submitted on : Monday, August 30, 2021 - 1:58:28 PM
Last modification on : Thursday, August 4, 2022 - 5:18:49 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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  • HAL Id : hal-03328841, version 1

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CNRS | INRIA | UNIV-LORRAINE | INRIA2 | LORIA | LORIA-NLPKD | HYAIAI

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Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, et al.. A Neural Approach for Detecting Morphological Analogies. IEEE DSAA 2021 - The 8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto / Online, Portugal. IEEE DSAA 2021. ⟨hal-03328841⟩

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