A Joint Graph Neural Model for Chinese Domain Event and Relation Extraction with Character-Word Fusion

Qiu, Jingxiong; Sun, Linfu

doi:10.1109/iccc62609.2024.10942111

2024 10th International Conference on Computer and Communications (ICCC) 2024

DOI: 10.1109/iccc62609.2024.10942111

|Get access via publisher |Cite

A Joint Graph Neural Model for Chinese Domain Event and Relation Extraction with Character-Word Fusion

Jingxiong Qiu

Linfu Sun

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Relationship

Self Cite0

Independent0

Authors

Journals

Cited by 0 publications

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

No citations

Set email alert for when this publication receives citations?

Scite is an AI-powered research tool that helps researchers better discover and evaluate scientific literature through Smart Citations—a revolutionary system that shows whether articles support, contrast, or simply mention a given claim. Founded in 2018, and now part of Research Solutions, Scite has indexed over 1.3 billion citations and partnered with more than 30 major publishers to provide researchers with unparalleled access to scientific literature. With its Scite Assistant, Smart Citation Index, and advanced search capabilities, the platform addresses critical challenges such as information overload and research reproducibility. Trusted by two million active users worldwide, Scite is reshaping how researchers interact with scholarly content—building ethical, transparent AI tools that support rigorous, copyright-compliant research.