Utilizing Textual Information in Knowledge Graph Embedding: A Survey of Methods and Applications

Techniques that map the entities and relations of the knowledge graph (KG) into a low-dimensional continuous space are called KG embedding or knowledge representation learning. However, most existing techniques learn the embeddings based on the facts in KG alone, suffering from the issues of imperfe...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Fengyuan Lu, Peijin Cong, Xinli Huang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Knowledge graph embedding textual information text-based embedding text-improved embedding embedding-based applications
Online Access:	https://ieeexplore.ieee.org/document/9094215/