Adaptive micro- and macro-knowledge incorporation for hierarchical text classification

• المؤلفون الرئيسيون: Feng, Zijian, Mao, Kezhi, Zhou, Hanzhang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Hierarchical text classification; Knowledge incorporation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175778
• المؤسسة: Nanyang Technological University

Hierarchical text classification (HTC) aims to classify a text into multiple categories organized in a hierarchical structure. The state-of-the-art HTC methods usually employ graph networks, where label graphs are constructed and label representation is learned to interact with text representations...