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Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering
Legal documents pose substantial challenges for unsupervised knowledge discovery due to specialized domain terminology, multi-scale document lengths, and scarce expert annotations. This paper introduces Topic-Graph Spherical Fusion (TGSF), a dual-manifold representation learning framework for unsupe
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