KG-BERT: BERT for Knowledge Graph Completion
KG-BERT: BERT for Knowledge Graph Completion
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness. In this work, we propose to use pre-trained language models for knowledge graph completion. We treat triples in knowledge graphs as textual sequences and propose a novel framework named Knowledge Graph Bidirectional Encoder Represen...
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KG-BERT: BERT for Knowledge Graph Completion
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TN_cdi_proquest_journals_2287849200
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2287849200
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E-ISSN
2331-8422
