Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks-Reference-Cited by-同舟云学术

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Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 Conference of the North
language:
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Author:

Zhang Ningyu,Deng Shumin,Sun Zhanlin,Wang Guanying,Chen Xi,Zhang Wei,Chen Huajun

Publisher

Association for Computational Linguistics

Cited by 111 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. MKDAT: Multi-Level Knowledge Distillation with Adaptive Temperature for Distantly Supervised Relation Extraction;Information;2024-06-30

2. Knowledge-Enriched Prompt for Low-Resource Named Entity Recognition;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-05-10

3. Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models;Journal of Management Information Systems;2024-04-02

4. CodeKGC: Code Language Model for Generative Knowledge Graph Construction;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-03-09

5. Interactive optimization of relation extraction via knowledge graph representation learning;Journal of Visualization;2024-02-26

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