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What is Argumentation Mining: Detection & Structuring about?

This document summarizes research on argumentation mining, which aims to detect arguments in text documents by identifying argument units, their structure, and relationships. It discusses representing arguments as trees versus graphs, and automatic methods to detect arguments, classify argument propositions as premises or conclusions, and determine argument structure, including using machine learning classifiers and a manually constructed context-free grammar. Evaluation of these methods achieved accuracies

Author

archiloque

Language

EN