GENERATING ANSWERS TO MULTI-HOP CONSTRAINT-BASED QUESTIONS FROM KNOWLEDGE GRAPHS

Automated response generation systems and methods are disclosed. The systems can include a deep learning model specially configured to apply embedding techniques to redesign natural language querying systems for use over knowledge graphs. The disclosed systems and methods employ knowledge graph embedding to reduce knowledge graph sparsity by performing missing link prediction. The systems and methods described generate query graphs with increased flexibility and the ability to handle multi-hope constrained-based queries.