Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

When answering natural language questions over knowledge bases (KBs), different question components and KB aspects play different roles. However, most existing embedding-based methods for knowledge base question answering (KBQA) ignore the subtle inter-relationships between the question and the KB (e.g., entity types, relation paths and context)... (read more)

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Methods used in the Paper


METHOD TYPE
Interpretability
Image Models
Memory Network
Working Memory Models