Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers.
Zhongqin BiTianchen ZhangPing ZhouYongbin LiPublished in: IEEE Access (2020)
Keyphrases
- knowledge transfer
- knowledge base
- knowledge sharing
- transfer learning
- entity linking
- graph embedding
- mutual adaptation
- learning tasks
- cross domain
- knowledge representation
- neural network
- knowledge construction
- learning algorithm
- named entity disambiguation
- deep belief networks
- transfer knowledge
- natural language processing
- information technology
- reinforcement learning
- artificial intelligence
- information retrieval
- real world