ANNa

Anna is a Web application realized as part of AT2TA project by :

• Miguel Couceiro (INESC-ID, Instituto Superior Técnico, Université de Lisbonne, Lisbonne, Portugal)
• Esteban Marquer (Université d'Artois, CNRS, CRIL, Lens, France)
• Ndeye-Emilie Mbengue (Université de Lorraine, CNRS, LORIA, Nancy, France)
• Pierre Monnin (Université Côte d'Azur,Inria, CNRS, I3S, Sophia Antipolis, France)
• Cherif Hassan Nousradine (Université de Lorraine, CNRS, LORIA, Nancy, France)

You can contact us at the email adress: anna@inria.fr

The main features of this Web application are discribed within the following papers:

• Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro: A Neural Approach for Detecting Morphological Analogies. [paper]
• Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro: On the Transferability of Neural Models of Morphological Analogies. [paper]
• Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro: Tackling Morphological Analogies Using Deep Learning -- Extended Version.[ paper]
• Esteban Marquer, Miguel Couceiro: Solving morphological analogies: from retrieval to generation.[ paper]
• Lucas Jarnac, Miguel Couceiro, Pierre Monnin: Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning. [paper], [platform]