计算机工程与应用2024，Vol.60Issue(10)：105-112,8.DOI:10.3778/j.issn.1002-8331.2302-0237
深层次标签辅助分类任务的层次标签文本分类方法
Hierarchical Label Text Classification Method with Deep Label Assisted Classification Task
摘要
Abstract
Hierarchical label text classification is a challenging task in natural language processing,where each document needs to be correctly classified into multiple labels corresponding to a hierarchical structure.However,in the label set,the insufficient semantic information contained in the labels,along with the low number of documents classified into deep labels,inadequate training of deep-level labels leads to significant imbalance problems in label training.A two-channel hierarchical label text classification method with deep label assisted classification task(DLAC)is proposed to deal with the above challenges.The method proposes a deep-level label assisted classifier that effectively uses text features with deep-level labels corresponding to parent label nodes(i.e.,rich features of shallow labels)to improve the classification performance of deep-level labels based on semantic enhancement of labels.Experimental results with eleven algorithms on three datasets demonstrate that the proposed model effectively improves the classification performance of deep-level labels and achieves better results.关键词
层次标签文本分类/标签层次结构/全局标签分类通道/深层次标签辅助分类通道Key words
hierarchical label text classification/label hierarchy/global label classification channel/deep label assisted clas-sification channel分类
信息技术与安全科学引用本文复制引用
曹渝昆,魏子越,唐艺嘉,金成坤,李云峰..深层次标签辅助分类任务的层次标签文本分类方法[J].计算机工程与应用,2024,60(10):105-112,8.基金项目
国家自然科学基金青年基金(61802249). （61802249）
