Abstract: Hierarchical Text Classification, as a critical task in natural language processing, has broad applications in scenarios with complex label structures and limited samples. However, existing ...

Text classification has been widely applied to many practical tasks. Inductive models trained from labeled data are the most commonly used technique. The basic assumption underlying an inductive model ...

Abstract: The ability of Agentic AI allows the model to learn, adapt, and make decisions on their own without constant human interaction bringing about a paradigm change in text classification. Unlike ...