Process / pipeline

Argument Mining — Detecting Claims and Their Reasons

Argument mining is a natural-language-processing task that automatically detects claims, premises and the argumentative structures that link them within text. Consolidated as a field by Lippi and Torroni's 2016 state-of-the-art survey, it is applied to scientific writing, legal documents and debate analysis to turn free-form argumentation into structured, analysable units.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  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

Related methods

Referenced by

ScholarGateArgument Mining (Argument Mining (Argumentation Mining)). Retrieved 2026-06-04 from https://scholargate.app/tr/text-mining/argument-mining