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Do General NLP Embeddings Capture Ontological Reasoning?

Giglou, Hamed Babaei et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
General-purpose NLP embedding models perform well on linguistic tasks, but their ability to capture symbolic ontological structure remains unclear. We introduce AVA, a systematic framework for evaluating whether embeddings distinguish logic-sensitive relational semantics in ontologies and knowledge
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