MEM-KGC: Masked Entity Model for Knowledge Graph Completion With Pre-Trained Language Model

MEM-KGC: Masked Entity Model for Knowledge Graph Completion With Pre-Trained Language Model

The knowledge graph completion (KGC) task aims to predict missing links in knowledge graphs. Recently, several KGC models based on translational distance or semantic matching methods have been proposed and have achieved meaningful results. However, existing models have a significant shortcoming&...

Full description

Bibliographic Details
Main Authors: Bonggeun Choi, Daesik Jang, Youngjoong Ko
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Knowledge graph completion
link prediction
masked language model
pre-trained language model
Online Access:https://ieeexplore.ieee.org/document/9540703/

Similar Items

Similar Items