Abstract: Hierarchical classification learning, which organizes data categories into a hierarchical structure, is an effective approach for large-scale classification tasks. The high dimensionality of ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

Abstract: Document-level event argument extraction (DEAE) aims to structure unstructured documents by identifying event participants, supporting various downstream tasks. Traditional methods rely on ...