English(EN) NEPSEE: A Double-Annotated Benchmark for Nepali Sentiment Analysis

发布新的尼泊尔语情感基准 NEPSEE

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了 NEPSEE，一个用于尼泊尔语情感分析的新基准，该基准采用双标注来确保标签一致性。该基准包含来自尼泊尔公众人物推文的 3,189 个句子，标签由两位标注者达成一致。在评估中，Claude Opus 5.5 在五点情感量表上表现出卓越的性能，显著优于编码器模型。此外，对分词器的审计显示，默认的尼泊尔语 BERT 模型经常 mishandle 天城文脚本，影响了性能。 AI

影响该基准可以提高尼泊尔语模型的情感分析能力，并突出分词器处理特定脚本时存在的问题。

排序理由该集群包含一篇详细介绍新基准数据集和评估结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Signal score: 16 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新基准数据集和评估结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Gaurab Baral, Mimansak Nepal, Grishma Basnet · 2026-10-15 04:00

NEPSEE：尼泊尔情感分析的双标注基准

arXiv:2610.19190v1 Announce Type: new Abstract: Many sentiment datasets use one annotator for each item, so the test labels show the conventions of that person. We build a Nepali benchmark from two annotators who labelled the same sentences blind. They labelled 5,614 sentences fr…

本文如何被排名

报道来源 [1]

NEPSEE：尼泊尔情感分析的双标注基准

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