A Neural Approach for Detecting Morphological Analogies

Autor: Miguel Couceiro, Amandine Decker, Pierre-Alexandre Murena, Puthineath Lay, Esteban Marquer, Safa Alsaidi

Publikováno v: IEEE DSAA 2021-The 8th IEEE International Conference on Data Science and Advanced Analytics
IEEE DSAA 2021-The 8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto / Online, Portugal. IEEE DSAA 2021
The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA)
The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto/Online, Portugal
DSAA
DSAA 2021-8th IEEE International Conference on Data Science and Advanced Analytics
DSAA 2021-8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto/Online, Portugal. pp.1-10
IEEE DSAA 2021-The 8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto / Online, Portugal., IEEE DSAA 2021

Analogical proportions are statements of the form "A is to B as C is to D" that are used for several reasoning and classification tasks in artificial intelligence and natural language processing (NLP). For instance, there are analogy based approaches

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c88db8671c48e40616125ba1d313b654
https://hal.inria.fr/hal-03328841/document