3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings
Lea Dieudonat, Kelvin Han, Phyllicia Leavitt +1
``Classical'' word embeddings, such as Word2Vec, have been shown to capture the semantics of words based on their distributional properties. However, their ability to represent the…