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Multilingual Knowledge Base Completion by Cross-lingual Semantic Relation Inference
Acte de colloque   Open Access

Multilingual Knowledge Base Completion by Cross-lingual Semantic Relation Inference

Nadia Bebeshina-Clairet et Mathieu Lafourcade
ACSIS, Vol.18, pp.249-253
ACSIS
LTA 2019 - 4th International Workshop on Language Technologies and Applications (Leipzig, Germany, 01/09/2019–04/09/2019)
2019

Résumé

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.

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