Zobrazeno 1 - 5
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pro vyhledávání: '"Lalisse, Matthias"'
Autor:
Lalisse, Matthias, Smolensky, Paul
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 the assumption that the contributions of individual constituents are
Externí odkaz:
http://arxiv.org/abs/2110.12342
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. Since entities are modeled as aggreg
Externí odkaz:
http://arxiv.org/abs/2110.12341
Autor:
Lalisse, Matthias, Smolensky, Paul
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. Using a model inspired b
Externí odkaz:
http://arxiv.org/abs/1811.01062
Autor:
Lalisse, Matthias
Publikováno v:
Papers from the Annual Meeting of the Chicago Linguistic Society; 2017, Vol. 53, p32-32, 2/3p
