arXiv cs.CL· Duc-Vu Nguyen, Ngan Luu-Thuy Nguyen·· 11 小时前AI 评分22
面向越南语法条检索的 DRiLL 结构与谱系证据研究
Structure and Lineage Evidence for Vietnamese Statutory Article Retrieval on DRiLL
AI 导读
研究在 DRiLL 数据集上利用条文身份与局部形式、同法支持、引用与谱系证据等特征进行越南语法条检索，五个随机种子下官方 F₂ 从 71.77% 提升至 72.91%，双条文问题上的描述性增益最大。新增特征占所提选择器决策树总分裂增益的 18.20%，主要来自同法支持与引用证据。该结果不确立单个特征的独立效应，也不依赖 LightGBM、手工评分或显式图结构。
正文 · 原文
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.
| Comments: | Accepted at SOICT 2026 |
| Subjects: | Information Retrieval (cs.IR); Computation and Language (cs.CL) |
| Cite as: | arXiv:2611.09200 [cs.IR] |
| (or arXiv:2611.09200v1 [cs.IR] for this version) | |
| https://doi.org/10.48550/arXiv.2611.09200 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Duc-Vu Nguyen [view email]
[v1]
Fri, 6 Nov 2026 09:21:59 UTC (85 KB)
来源：arXiv cs.CL · arxiv.org