An asymmetric knowledge representation learning in manifold space

DOI10.1016/j.ins.2020.04.036zbMath1459.68199OpenAlexW3023469160MaRDI QIDQ2023152

Yanyan Li

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.04.036

zbMATH Keywords

knowledge representationcomplex relationsembedding vectorsmanifold space

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30)

Related Items (2)

Feature selection based on label distribution and fuzzy mutual information ⋮ ROBP a robust border-peeling clustering using Cauchy kernel

Uses Software

• WordNet
• YAGO
• Freebase
• STransE

Cites Work

• Efficient inference and learning in a large knowledge base. Reasoning with extracted information using a locally groundable first-order probabilistic logic
• Interactive natural language question answering over knowledge graphs
• A semantic matching energy function for learning with multi-relational data

This page was built for publication: An asymmetric knowledge representation learning in manifold space