Document-level Relation Extraction with Dual-tier Heterogeneous Graph-Reference-Cited by-同舟云学术

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Document-level Relation Extraction with Dual-tier Heterogeneous Graph

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

Zhang Zhenyu,Yu Bowen,Shu Xiaobo,Liu Tingwen,Tang Hengzhu,Yubin Wang,Guo Li

Publisher

International Committee on Computational Linguistics

Cited by 31 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 Deep Learning Approach for Document-level Chinese Financial Event Extraction;Proceedings of the 2024 3rd International Symposium on Robotics, Artificial Intelligence and Information Engineering;2024-07-05

2. COREX: Document-level Relation Extraction Framework with Consistent Two-Hop Reasoning and Evidence Sentence Prediction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Reasoning subevent relation over heterogeneous event graph;Knowledge and Information Systems;2024-05-23

4. Graph neural networks with selective attention and path reasoning for document-level relation extraction;Applied Intelligence;2024-04

5. LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature;IEEE Journal of Biomedical and Health Informatics;2024-04

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