Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection-Reference-Cited by-同舟云学术

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Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection

Published:2020 Issue: Volume:8 Page:171435-171446
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Lei^ORCID,Jin Li^ORCID,Zhang Zequn^ORCID,Liu Qing^ORCID,Sun Xian^ORCID,Wang Hongqi^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09200483.pdf?arnumber=9200483

Cited by 13 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 syntax-enhanced parameter generation network for multi-source cross-lingual event extraction;Knowledge-Based Systems;2024-05

2. Fluid classification with dynamic graph convolution network by local linear embedding well logging data;Physics of Fluids;2024-02-01

3. Metric Learning for Zero-Shot Event Extraction With Graph Convolutional Networks;2023 13th International Conference on Information Science and Technology (ICIST);2023-12-08

4. GMDA: GCN-Based Multi-Modal Domain Adaptation for Real-Time Disaster Detection;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2023-12

5. DEEDP: Document-Level Event Extraction Model Incorporating Dependency Paths;Applied Sciences;2023-02-22

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