English(EN) Nepali Passport Question Answering: A Low-Resource Dataset for Public Service Applications

新的尼泊尔护照问答数据集提高了检索性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员开发了一个专门针对尼泊尔护照相关服务的新问答数据集，解决了低资源语言资源稀缺的问题。该数据集用于微调基于Transformer的嵌入模型，包括SBERT和多语言E5，以改进信息检索。评估显示，微调后的SBERT模型超越了基线BM25，而多语言E5模型取得了最高的检索性能。 AI

影响这项研究有助于改善低资源语言的信息获取，可能为更好的公共服务应用提供支持。

排序理由学术论文，详细介绍了低资源语言信息检索的新数据集和模型评估。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 学术论文，详细介绍了低资源语言信息检索的新数据集和模型评估。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Funghang Limbu Begha, Praveen Acharya, Bal Krishna Bal · 2026-09-07 04:00

尼泊尔护照问答：面向公共服务应用的低资源数据集

arXiv:2603.13320v2 Announce Type: replace-cross Abstract: Nepali, a low-resource language, faces significant challenges in building an effective information retrieval system due to the unavailability of annotated data and computational linguistic resources. In this study, we atte…