Publications

A Joint Model for Representation Learning of TibetanKnowledge Graph Based on Encyclopedia

Published in The Transactions on Asian and Low-Resource Language Information Processing, 2021

In this paper, aiming at scarcity of Tibetan knowledge graphs, we extend the Tibetan knowledge graph by using the triples of the high- resource language knowledge graphs and POI (Point of Information) map information. To improve the representation learning of the Tibetan knowledge graph, we propose a joint model to merge structure and entity description information based on the TransE and CNN model.

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