Document-level relation extraction via dual attention fusion and dynamic asymmetric loss

Abstract Document-level relation extraction (RE), which requires integrating and reasoning information to identify multiple possible relations among entities. However, previous research typically performed reasoning on heterogeneous graphs and set a global threshold for multiple relations classifica...

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Bibliographic Details
Main Authors: Xiaoyao Ding, Dongyan Ding, Gang Zhou, Jicang Lu, Taojie Zhu
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s40747-024-01632-8
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