Enhancing Document-level Relation Extraction with Integrated Local Evidence and Global Graph-Reference-Cited by-同舟云学术

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Enhancing Document-level Relation Extraction with Integrated Local Evidence and Global Graph

Published:2024-01-26 Issue: Volume:1 Page:138-142
ISSN:
Container-title:2024 4th Asia Conference on Information Engineering (ACIE)
language:
Short-container-title:

Author:

Wu Xiaohua¹,Fan Youping²,Wang Zirui²,Li Yu²

Affiliation:

1. University of Electronic Science and Technology of China, YiBin Park of UESTC,School of Information and Software Engineering,Chengdu,China

2. University of Electronic Science and Technology of China,School of Information and Software Engineering,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10496275/10496112/10496115.pdf?arnumber=10496115

Reference10 articles.

1. Microblog Entity Detection for Natural Disaster Management

2. Relation extraction in Chinese using attention-based bidirectional long short-term memory networks

3. CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises

4. Natural Language Processing for Disaster Management Using Conditional Random Fields

5. Detection of fake news using machine learning;Rawat;International Journal of Engineering and Applied Physics,2021

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