Text-Graph Enhanced Knowledge Graph Representation Learning

Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space. Conventional KG embedding methods (such as TransE and ConvE) u...

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Detalles Bibliográficos
Autores principales: Hu, Linmei, Zhang, Mengmei, Li, Shaohua, Shi, Jinghan, Shi, Chuan, Yang, Cheng, Liu, Zhiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418144/
https://www.ncbi.nlm.nih.gov/pubmed/34490421
http://dx.doi.org/10.3389/frai.2021.697856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418144/
https://www.ncbi.nlm.nih.gov/pubmed/34490421
http://dx.doi.org/10.3389/frai.2021.697856

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