Search Results for author: Matthew Siegler

Found 3 papers, 1 papers with code

Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base

1 code implementation ICLR 2020 William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler

We describe a novel way of representing a symbolic knowledge base (KB) called a sparse-matrix reified KB.

Differentiable Representations For Multihop Inference Rules

no code implementations24 May 2019 William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler

We present efficient differentiable implementations of second-order multi-hop reasoning using a large symbolic knowledge base (KB).

Neural Query Language: A Knowledge Base Query Language for Tensorflow

no code implementations15 May 2019 William W. Cohen, Matthew Siegler, Alex Hofer

Large knowledge bases (KBs) are useful for many AI tasks, but are difficult to integrate into modern gradient-based learning systems.

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