Semantic-guided attention and adaptive gating for document-level relation extraction

Abstract In natural language processing, document-level relation extraction is a complex task that aims to predict the relationships among entities by capturing contextual interactions from an unstructured document. Existing graph- and transformer-based models capture long-range relational facts acr...

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Bibliographic Details
Main Authors: Xiaoyao Ding, Shaopeng Duan, Zheng Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-78051-9
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