March 12, 2024, 4:45 a.m. | Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota

cs.LG updates on arXiv.org arxiv.org

arXiv:2307.03067v2 Announce Type: replace-cross
Abstract: Integrating deep learning techniques, particularly language models (LMs), with knowledge representation techniques like ontologies has raised widespread attention, urging the need of a platform that supports both paradigms. Although packages such as OWL API and Jena offer robust support for basic ontology processing features, they lack the capability to transform various types of information within ontologies into formats suitable for downstream deep learning-based applications. Moreover, widely-used ontology APIs are primarily Java-based while deep learning frameworks …

abstract api arxiv attention basic cs.ai cs.cl cs.lg cs.lo deep learning deep learning techniques engineering features knowledge language language models lms ontologies ontology package platform processing python representation robust support type

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