📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Language Model Analysis for Ontology Subsumption Inference (2023)

First Author: He Y

Attributed to: UK FIRES: Locating Resource Efficiency at the heart of Future Industrial Strategy in the UK funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2302.06761

Publication URI: https://arxiv.org/abs/2302.06761

Type: Preprint