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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Bibliographic Details
Published in:	Jisuanji gongcheng
Main Author:	ZHANG Hongchen, LI Linyu, YANG Li, SAN Chenjun, YIN Chunlin, YAN Bing, YU Hong, ZHANG Xuan
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2024-04-01
Subjects:	knowledge graph completion(kgc)\|knowledge graph\|contrastive learning\|pretrained language model\|link prediction
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20240419.pdf

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