Integrating PubMed Label Hierarchy Knowledge into a Complex Hierarchical Deep Neural Network

This paper proposes an innovative method that exploits a complex deep learning network architecture, called Hierarchical Deep Neural Network (HDNN), specifically developed for the eXtreme Multilabel Text Classification (XMTC) task, when the label set is hierarchically organized, such as the case of...

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Bibliographic Details
Main Authors: Stefano Silvestri, Francesco Gargiulo, Mario Ciampi
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/24/13117