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Amandine Decker

IDMC, Université de Lorraine, Nancy

7 papers hereh-index 344 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL7
affiliations
  • IDMC, Université de Lorraine, Nancy

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedTackling Morphological Analogies Using Deep Learning -- Extended Version

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CL2021★ 1 cited

Tackling Morphological Analogies Using Deep Learning -- Extended Version

Safa Alsaidi, Amandine Decker, Esteban Marquer +2

Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and e…

cs.CL2021

A Neural Approach for Detecting Morphological Analogies

Safa Alsaidi, Amandine Decker, Puthineath Lay +3

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 langu…

cs.CL2021

On the Transferability of Neural Models of Morphological Analogies

Safa Alsaidi, Amandine Decker, Puthineath Lay +3

Analogical proportions are statements expressed in the form "A is to B as C is to D" and are used for several reasoning and classification tasks in artificial intelligence and natu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.