Papers by Rana Alshaikh
A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings (2020.coling-main)
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| Challenge: | Existing methods for learning entity embeddings from text descriptions leave it to downstream applications to identify these different facets and to select the most relevant ones. |
| Approach: | They propose a model that instead learns several vectors for each entity, each of which captures a different aspect of the considered domain. |
| Outcome: | The proposed model learns several vectors for each entity, each of which intuitively captures a different aspect of the considered domain. |