ScholarGate
助手
Process / pipeline

论证挖掘 — 检测论点及其理由

论证挖掘是一项自然语言处理任务,旨在自动检测文本中的论点、前提以及连接它们的论证结构。该领域由 Lippi 和 Torroni 于 2016 年发表的最新文献综述进行整合,应用于科学写作、法律文件和辩论分析,将自由形式的论证转化为结构化、可分析的单元。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Lippi, M. & Torroni, P. (2016). Argumentation Mining: State of the Art and Emerging Trends. ACM Transactions on Internet Technology, 16(2), Article 10, 1-25. DOI: 10.1145/2850417
  2. Stede, M. & Schneider, J. (2018). Argumentation Mining. Morgan & Claypool. ISBN: 9781681731919

如何引用本页

ScholarGate. (2026, June 1). Argument Mining (Argumentation Mining). ScholarGate. https://scholargate.app/zh/text-mining/argument-mining

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateArgument Mining (Argument Mining (Argumentation Mining)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/argument-mining · 数据集: https://doi.org/10.5281/zenodo.20539026