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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: ZHANG Hongchen, LI Linyu, YANG Li, SAN Chenjun, YIN Chunlin, YAN Bing, YU Hong, ZHANG Xuan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Editorial Office of Computer Engineering 2024-04-01
Schriftenreihe:Jisuanji gongcheng
Schlagworte:
knowledge graph completion(kgc)|knowledge graph|contrastive learning|pretrained language model|link prediction
Online Zugang:https://www.ecice06.com/fileup/1000-3428/PDF/20240419.pdf
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge