Papers by Ernesto Jimenez-Ruiz

1 papers
Language Model Analysis for Ontology Subsumption Inference (2023.findings-acl)

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Challenge: Existing studies focus on simple, triple-based, relational KBs but omit more sophisticated, logic-based conceptualised KB.
Approach: They propose to use ontology subsumption axioms to probe LMs' knowledge of ontologies by probing datasets from atomic and complex concepts.
Outcome: The proposed methods encode less background knowledge of Subsumption Inference (SI) than traditional Natural Language Inference but can improve on SI significantly when a small number of samples are given.

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