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Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis
March 27, 2024, 4:48 a.m. | Na Li, Thomas Bailleux, Zied Bouraoui, Steven Schockaert
cs.CL updates on arXiv.org arxiv.org
Abstract: We consider the problem of finding plausible knowledge that is missing from a given ontology, as a generalisation of the well-studied taxonomy expansion task. One line of work treats this task as a Natural Language Inference (NLI) problem, thus relying on the knowledge captured by language models to identify the missing knowledge. Another line of work uses concept embeddings to identify what different concepts have in common, taking inspiration from cognitive models for category based …
abstract analysis arxiv concept cs.cl embeddings expansion inference knowledge language line natural natural language ontology taxonomy type work
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