argumentmining
Argument mining is a field within natural language processing and artificial intelligence that focuses on the automatic identification, extraction, and analysis of argumentative structures in text. It seeks to detect argumentative discourse units such as claims and evidence and to reveal how these units support or oppose one another. Drawing on theories from argumentation and rhetoric, argument mining aims to produce machine-readable representations of argumentation for tasks such as reasoning, evaluation, and decision support.
Typical tasks include segmenting text into argumentative discourse units, classifying units into types (e.g., claim, premise,
Corpora for argument mining come from domains such as persuasive essays, online debates, legal texts, and political
Applications include automated essay feedback, legal analysis, policy monitoring, media analysis, and assistive tools for debate
Ongoing challenges include domain transfer, annotation consistency, multilingual support, interpretability, and handling rhetorical complexity. Ongoing research