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English(EN) The Structure of Disagreement in Emotion Annotation

新的NLP研究分析情感标注中的分歧结构

一篇新发表在arXiv上的论文探讨了自然语言处理中情感标注的分歧结构。该研究分析了来自三个数据集的多标签标注,包括Ernest Hemingway的《老人与海》,以识别标注者之间分歧的重复模式。研究发现,分歧可能源于重叠的情感类别、对标签边界的不同解释以及情感强度评级的差异。作者们提出了一个词汇表,以便在聚合或用于建模之前更好地理解和描述这些分歧结构。 AI

影响 提供了一个理解和建模标注分歧的框架,有可能提高NLP数据集的质量和可靠性。

排序理由 关于NLP方法学的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新的NLP研究分析情感标注中的分歧结构

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关于NLP方法学的学术论文。[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) · Emily \"Ohman, Anna Koufakou, Eugenia Diegoli ·

    情感标注中的分歧结构

    arXiv:2611.01539v1 Announce Type: new Abstract: Calculating inter-annotator agreement is an established practice in NLP, and disagreement-aware work increasingly retains the distribution of human judgments rather than reducing annotations to a single gold label. Keeping the distr…