Knowledge Graph Completion for the Chinese Text of Cultural Relics Based on Bidirectional Encoder Representations from Transformers with Entity-Type Information

Knowledge graph completion can make knowledge graphs more complete, which is a meaningful research topic. However, the existing methods do not make full use of entity semantic information. Another challenge is that a deep model requires large-scale manually labelled data, which greatly increases man...

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Detalles Bibliográficos
Autores principales: Zhang, Min, Geng, Guohua, Zeng, Sheng, Jia, Huaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597339/
https://www.ncbi.nlm.nih.gov/pubmed/33286937
http://dx.doi.org/10.3390/e22101168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597339/
https://www.ncbi.nlm.nih.gov/pubmed/33286937
http://dx.doi.org/10.3390/e22101168

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