Le LORIA, Laboratoire lorrain de Recherche en Informatique et ses Applications est une Unité Mixte de Recherche (UMR 7503), commune à plusieurs établissements : le CNRS, l’Université de Lorraine et Inria. Depuis sa création en 1997, le Loria a pour mission la recherche fondamentale et appliquée en sciences informatiques. Le Loria est un des plus grands laboratoires de la région lorraine.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

641 to 650 of 1,811 Results
models.zip
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
ZIP Archive - 68.4 MB - MD5: 7113f42ef33ed51bd99acd90fe66a344
For all models except AE+ANNr and the symbolic baselines, contains the performance file and the PyTorch Pickle archive. For AE+ANNr see the logs/ folder.
results.zip
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
ZIP Archive - 381.7 MB - MD5: 86567302093b1a97b64da476fcf9fc46
For all models except AE+ANNr, the symbolic baselines, and the semantic baselines, contains the performance file and the PyTorch Pickle archive. For AE+ANNr see the logs/ folder.
ret-2016-georgian-b512-epoch=23.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: c7a4847a6ca7efd23aeaef586ff694e9
ret-2016-georgian-b512-epoch=25.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: b69d3c6eb2f96f6275fba5606daa5ed5
ret-2016-georgian-b512-epoch=28.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: 946d301b1f29732774893e67ae812736
ret-2016-georgian-b512-epoch=30.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: d88effc5651340e528557b88f02b2a6b
ret-2016-georgian-b512-epoch=30.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: 51e2dd135256168764a4f4754b34f38a
ret-2016-georgian-b512-epoch=37.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: c749a7d5a22f90aebdd9b7461077fd0c
ret-2016-georgian-b512-epoch=39.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: 3d3709691d995cc5880a7e48116b6a27
ret-2016-georgian-b512-epoch=42.ckpt
Dec 21, 2023 - Données de réplication pour : "Solving morphological analogies: from retrieval to generation"
Unknown - 10.7 MB - MD5: 548dbdd37b11c724f45a2a3c198cc435
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.