Trans-SBLGCN: A Transfer Learning Model for Event Logic Knowledge Graph Construction of Fault Diagnosis-Reference-Cited by-同舟云学术

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Trans-SBLGCN: A Transfer Learning Model for Event Logic Knowledge Graph Construction of Fault Diagnosis

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Lin RuiMing¹,Cheng LiangLun¹,Wang Tao²,Deng Jianfeng²

Affiliation:

1. School of Computer Science, Guangdong University of Technology,Guangzhou,China

2. School of Automation, Guangdong University of Technology,Guangzhou,China

Funder

Natural Science Foundation of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892075.pdf?arnumber=9892075

Reference34 articles.

1. Joint model of entity recognition and relation extraction based on artificial neural network;zhu;Journal of Ambient Intelligence and Humanized Computing,2020

2. Adversarial training for multi-context joint entity and relation extraction;giannis;ArXiv Preprint,2018

3. Annotation method for joint extraction of domain-oriented entities and relations;xiaohe;Journal of Computer Applications 41,2021

4. BERT-based multi-head selection for joint entity-relation extraction;weipeng;CCF International Conference on Natural Language Processing and Chinese Computing,2019

Cited by 1 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. Knowledge Graph Construction for Supply Chain Management in Manufacturing Industry;Lecture Notes in Computer Science;2023

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