1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
Distributed neural encoding of binding to thematic roles
Matthias Lalisse, Paul Smolensky
A framework and method are proposed for the study of constituent composition in fMRI. The method produces estimates of neural patterns encoding complex linguistic structures, under…
cs.CL2021
Scalable knowledge base completion with superposition memories
Matthias Lalisse, Eric Rosen, Paul Smolensky
We present Harmonic Memory Networks (HMem), a neural architecture for knowledge base completion that models entities as weighted sums of pairwise bindings between an entity's neigh…
cs.CL2018
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations
Matthias Lalisse, Paul Smolensky
Neural models of Knowledge Base data have typically employed compositional representations of graph objects: entity and relation embeddings are systematically combined to evaluate…