Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

Understand

Our goal is to combine the rich multistep inference of symbolic logical reasoning with the generalization capabilities of neural networks.

• We are particularly interested in complex reasoning about entities and relations in text and large-scale knowledge bases (KBs).
• Neelakantan et al.
• (2015) use RNNs to compose the distributed semantics of multi-hop paths in KBs; however for multiple reasons, the approach lacks accuracy and practicality.