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English(EN) A Resource for Enthymeme Detection in Controversial Political Discourse

新数据集助力识别政治话语中的简略论证

研究人员开发了一个包含1,482条来自争议性政治讨论的推文的新数据集,用于研究简略论证(enthymeme)的识别。简略论证是指论证中省略了未明示的前提,由于其主观性,标注起来很困难。该数据集由五人标注,旨在捕捉标签差异并探索其对模型性能的影响。初步实验表明,在标注者分歧上训练的模型比使用多数投票标签的模型效果更好。 AI

影响 为训练自然语言处理(NLP)模型理解政治话语中细微的论证提供了新的数据集和方法。

排序理由 该聚类包含一篇学术论文,详细介绍了一种用于自然语言处理(NLP)研究的新数据集和方法论。

在 arXiv cs.CL 阅读 →

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新数据集助力识别政治话语中的简略论证

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该聚类包含一篇学术论文,详细介绍了一种用于自然语言处理(NLP)研究的新数据集和方法论。
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报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Martial Pastor, Nelleke Oostdijk ·

    用于争议性政治言论中隐含前提识别的资源

    arXiv:2606.12186v1 Announce Type: new Abstract: Enthymemes, arguments with unstated premises or conclusions, are pervasive in persuasive discourse, yet their annotation remains notoriously subjective. We present a resource of 1,482 tweets from politically controversial discourse,…

  2. arXiv cs.CL TIER_1 English(EN) · Nelleke Oostdijk ·

    用于争议性政治言论中隐含前提识别的资源

    Enthymemes, arguments with unstated premises or conclusions, are pervasive in persuasive discourse, yet their annotation remains notoriously subjective. We present a resource of 1,482 tweets from politically controversial discourse, annotated by five annotators for the presence o…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    用于争议性政治言论中隐含前提识别的资源

    Enthymemes, arguments with unstated premises or conclusions, are pervasive in persuasive discourse, yet their annotation remains notoriously subjective. We present a resource of 1,482 tweets from politically controversial discourse, annotated by five annotators for the presence o…