News media always pursue informing the public at large. It is impossible to overestimate the
significance of understanding the semantics of news coverage. Traditionally, a news text is …

Due to the complex label hierarchy and intensive labeling cost in practice, the hierarchical
text classification (HTC) suffers a poor performance especially when low-resource or few …

It is often the case that collections of documents are annotated with hierarchically-structured
concepts. However, the benefits of this structure are rarely taken into account by …

While collections of documents are often annotated with hierarchically structured concepts,
the benefits of these structures are rarely taken into account by classification techniques …

The operation of large utility companies such as Consolidated Edison Company of New
York, Inc.(Con Edison) typically rely on large quantities of regulation documents from …

Query classification plays a crucial role in e-commerce, where the goal is to assign user
queries to appropriate categories within a hierarchical product category taxonomy. However …

Hierarchical Text Classification (HTC) is an essential and challenging task due to the
difficulty of modeling label hierarchy. Recent generative methods have achieved state-of-the …

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 …

Recently, various pre-trained language models (PLMs) have been proposed to prove their
impressive performances on a wide range of few-shot tasks. However, limited by the …

Hierarchical text classification aims at categorizing texts into a multi-tiered tree-structured
hierarchy of labels. Existing methods pay more attention to capture hierarchy-aware text …