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Rana Alshaikh

2 accepted papers

2020

A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings

COLING 2020main

Various methods have already been proposed for learning entity embeddings from text descriptions. Such embeddings are commonly used for inferring properties of entities, for recommendation and entity-oriented search, and for injecting background knowledge into neural architectures, among others. Ent…

2020

Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces

IJCAI 2020poster

Conceptual spaces are geometric meaning representations in which similar entities are represented by similar vectors. They are widely used in cognitive science, but there has been relatively little work on learning such representations from data. In particular, while standard representation learning…