Error Detection on Knowledge Graphs with Triple Embedding

Keyphrases

• Knowledge Graph 100%
• Error Detection 100%
• Triple Embeddings 100%
• Local Level 22%
• Global Level 22%
• Real-world Knowledge 22%
• Contextual Information 11%
• Real-world Application 11%
• Detection Method 11%
• Existing Knowledge 11%
• Bidirectional Long Short-term Memory (BiLSTM) 11%
• General Graphs 11%
• Detecting Errors 11%
• Data Characteristics 11%
• Detection Framework 11%
• Triple-network 11%
• Graph Attention Network 11%
• Local Use 11%
• Supervised Information 11%
• Corresponding Relation 11%
• Error-detection Algorithms 11%
• Entity Relation 11%
• Entity Typing 11%

Computer Science

• Error Detection 100%
• World Knowledge 40%
• Experimental Result 20%
• World Application 20%
• Generalizability 20%
• Attention (Machine Learning) 20%
• Detection Method 20%
• Detection Algorithm 20%
• Contextual Information 20%
• Data Characteristic 20%
• Considerable Number 20%
• Bidirectional Long Short-Term Memory Network 20%
• Supervised Information 20%