AI & ML
Structure and Lineage Evidence for Vietnamese Statutory Article Retrieval on DRiLL
arXiv cs.IR0 views
arXiv:2611.09200v1 Announce Type: new Abstract: We study Vietnamese statutory Article retrieval on DRiLL using features for provision identity and local form, same-law support, and citation and lineage evidence. Across five random seeds, selectors sharing candidates, listwise Qwen evidence, and learner settings improve official $F_2$ from 71.77% to 72.91%, with the largest descriptive gain on two-Article questions. Added features account for 18.20% of the proposed selector's total decision-tree split gain, measured as training-objective reduction, mainly from same-law and citation evidence. Cases reveal base provisions and amendments, companion recovery, distractor removal, and failures. These findings motivate research on other datasets, representations, and learners without establishing individual feature effects or requiring LightGBM, hand-crafted scores, or explicit graphs.
Source：https://arxiv.org/abs/2611.09200PreviousPAGSL: Path-Augmenting Graph Structure Learning for explainable scholar recommendationNextOrthogonal Norm Growth in Two-Tower Retrieval: A Popularity Mechanism for Unified Discovery
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