方法证据记录
Argument Mining
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Argument Mining (Argumentation Mining)
分类方法记录 · process-pipeline / text-mining
- 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
- Stede, M. & Schneider, J. (2018). Argumentation Mining. Morgan & Claypool. · ISBN 9781681731919
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