Search Results for author: Matthias Lalisse

Found 3 papers, 1 papers with code

Distributed neural encoding of binding to thematic roles

no code implementations24 Oct 2021 Matthias Lalisse, Paul Smolensky

A framework and method are proposed for the study of constituent composition in fMRI.

Sentence

Scalable knowledge base completion with superposition memories

1 code implementation24 Oct 2021 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 neighbors and corresponding relations.

Knowledge Base Completion

Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations

no code implementations2 Nov 2018 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 the truth of a candidate Knowedge Base entry.

Knowledge Base Completion Knowledge Graphs +1

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