Papers by Hanane Kteich

1 papers
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings (2024.findings-acl)

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Challenge: Concept embeddings are a useful and efficient mechanism for injecting commonsense knowledge into downstream tasks.
Approach: They propose to model commonalities in concepts by capturing a more diverse range of commonsense properties.
Outcome: The proposed model captures a more diverse range of commonsense properties and improves ontology completion and ultra-fine entity typing tasks.

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