Differentiable Representations For Multihop Inference Rules

24 May 2019William W. CohenHaitian SunR. Alex HoferMatthew Siegler

We present efficient differentiable implementations of second-order multi-hop reasoning using a large symbolic knowledge base (KB). We introduce a new operation which can be used to compositionally construct second-order multi-hop templates in a neural model, and evaluate a number of alternative implementations, with different time and memory trade offs... (read more)

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