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 traditional Text-Level-GNN effectively captures the structural information of texts but fails to fully extract the semantic information of words during text-level composition. To address ...

Abstract: Legal documents' length, complexity, and plenty of domain-specific language make classification and analysis of them challenging. Often lacking the required contextual depth, conventional ...