Research on a denoising model for entity-relation extraction using hierarchical contrastive learning with distant supervision

Abstract Distant supervision is a technique that utilizes knowledge base information to automatically generate labels for text samples, enabling the large-scale creation of labeled data. However, this approach often encounters the issue of noisy labels in practice, which arises from inaccuracies in...

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Bibliographic Details
Main Authors: Ayiguli Halike, Aishan Wumaier, Kahaerjiang Abiderexiti, Tuergen Yibulayin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-04474-7
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