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New Corpus and Transformer Model Detect Metaphors in Hindi Legal Texts

研究人员开发了一种检测印地语法律文件中隐喻的新方法,由于缺乏低资源语言的标注数据,这项任务以前未被解决。他们使用 MIPVU 模式标注了印地语法律数据语料库 (HLDC) 的判决书,创建了印地语法律隐喻语料库 (HiLeMe)。对多语言 BERT 模型进行了微调以完成此任务,并实现了一个基于 transformer 的架构,在法律分类方面表现优于传统模型。 AI

影响 提升了低资源语言的自然语言处理能力,可能改进法律话语分析和司法决策。

排序理由 该条目是一篇学术论文,详细介绍了一个用于低资源语言隐喻检测的新语料库和自然语言处理模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

New Corpus and Transformer Model Detect Metaphors in Hindi Legal Texts

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该条目是一篇学术论文,详细介绍了一个用于低资源语言隐喻检测的新语料库和自然语言处理模型。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Bhumika Bhattacharyya, Shouvik Kumar Guha, Indranil Dutta ·

    比喻性司法:通过定性评估和Transformer模型检测印地语判决中的隐喻

    arXiv:2608.22446v1 Announce Type: new Abstract: Metaphors are figurative use of words for conceptual mapping. Metaphor detection in the legal context has been crucial as metaphors are persuasive juridical means of creating legal meaning and concepts resulting in significant conse…