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English(EN) Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions

神经符号系统NARS检测在线讨论中的说服力

研究人员开发了一种名为NARS的新型神经符号系统,用于检测在线讨论中的说服力,特别是在ChangeMyView的subreddit中。该系统结合了一个用于提取双极论证结构的神经网络组件和一个应用渐进式论证语义来模拟影响传播的符号组件。NARS在CMV2BAS数据集上取得了0.57的F1分数和0.56的AUC,优于Qwen3.6-27B和GPT-OSS 20B等基线LLM。研究还发现,以支持为主的讨论和长论证链是说服力分析的难点领域。 AI

影响 这项研究为分析在线话语和理解说服力动态提供了一种新方法,可能影响社会科学研究以及AI在分析人类交流中的作用。

排序理由 该集群包含一篇学术论文,详细介绍了一种新的论证推理和说服力检测方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

神经符号系统NARS检测在线讨论中的说服力

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该集群包含一篇学术论文,详细介绍了一种新的论证推理和说服力检测方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Siddharth Bhargava, Sara Tonelli, Patricia Mart\'in-Rodilla ·

    你被说服了吗?一种神经符号论证推理方法用于检测ChangeMyView讨论中的说服力

    arXiv:2610.15091v1 Announce Type: cross Abstract: Argument structures represent how individual arguments interact within a discourse. However, leveraging these structures to infer meaningful knowledge remains challenging, as it requires a formal representation of how argumentativ…