Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models-Reference-Cited by-同舟云学术

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Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Computational Linguistics
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Author:

Kim Bosung,Hong Taesuk,Ko Youngjoong,Seo Jungyun

Publisher

International Committee on Computational Linguistics

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A knowledge graph completion model based on triple level interaction and contrastive learning;Pattern Recognition;2024-12

2. Text-enhanced knowledge graph representation learning with local structure;Information Processing & Management;2024-09

3. Towards semantically enriched embeddings for knowledge graph completion;Neurosymbolic Artificial Intelligence;2024-08-21

4. Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

5. HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-29

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