Knowledge Graph Completion Based on Contrastive Learning and Language Model-Enhanced Embedding
A knowledge graph is a structured knowledge base comprising various types of knowledge or data units obtained through extraction and other processes. It is used to describe and represent information, such as entities, concepts, facts, and relationships. The limitations of Natural Language Processing...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Editorial Office of Computer Engineering
2024-04-01
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| Серія: | Jisuanji gongcheng |
| Предмети: | |
| Онлайн доступ: | https://www.ecice06.com/fileup/1000-3428/PDF/20240419.pdf |
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