Multilingual Knowledge Base Completion by Cross-lingual Semantic Relation Inference

Nadia Bebeshina-Clairet (1, 2) , Mathieu Lafourcade (2)

1 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
2 TEXTE - Exploration et exploitation de données textuelles

In the present paper, we propose a simple en-dogenous method for enhancing a multilingual knowledge base through the cross-lingual semantic relation inference. It can be run on multilingual resources prior to semantic representation learning. Multilingual knowledge bases may integrate preexisting structured resources available for resource-rich languages. We aim at performing cross-lingual inference on them to improve the low resource language by creating semantic relationships.

Domaines: Intelligence artificielle [cs.AI]; Informatique et langage [cs.CL]

Nadia Bebeshina-Clairet, Mathieu Lafourcade. Multilingual Knowledge Base Completion by Cross-lingual Semantic Relation Inference. LTA 2019 - 4th International Workshop on Language Technologies and Applications, Sep 2019, Leipzig, Germany. pp.249-253, ⟨10.15439/2019F267⟩. ⟨hal-02269121⟩