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English(EN) Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation

L2韩语标注使用解析器一致性进行人机协同工作流

研究人员开发了一种新的人机协同标注工作流,用于L2韩语,通过两个解析器之间的一致性来完成。该方法利用解析器的一致性作为标注正确性的代理,显示出与人类判断的强对应关系。研究发现,解析器之间的不一致性通常发生在可预测的语言区域,例如语法关系和从句边界,这表明了模型改进的可处理性和更深层次的表征挑战。 AI

影响 引入了一种新颖的半自动标注方法,可以提高语言数据处理的效率。

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了一种新的L2韩语标注方法。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

L2韩语标注使用解析器一致性进行人机协同工作流

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这是一篇发表在arXiv上的研究论文,详细介绍了一种新的L2韩语标注方法。
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Hakyung Sung, Gyu-Ho Shin ·

    L2韩语UD中的解析器一致性与不一致性:对人机协作标注的启示

    arXiv:2605.06625v1 Announce Type: new Abstract: We propose a simplified human-in-the-loop workflow for second language (L2) Korean morphosyntactic annotation by leveraging agreement between two domain-adapted parsers. We first evaluate whether parser agreement can serve as a prox…

  2. arXiv cs.CL TIER_1 English(EN) · Gyu-Ho Shin ·

    L2韩语UD中的解析器一致与不一致:对人机协同标注的启示

    We propose a simplified human-in-the-loop workflow for second language (L2) Korean morphosyntactic annotation by leveraging agreement between two domain-adapted parsers. We first evaluate whether parser agreement can serve as a proxy for annotation correctness by comparing it wit…