Method evidence record
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.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Argument Mining (Argumentation Mining)
Taxonomic method recordprocess-pipelinetext-mining
Stede, M. & Schneider, J. (2018). Argumentation Mining. Morgan & Claypool. · ISBN 9781681731919
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
This view does not invent a claim assessment when the ledger has none.
Related methods
Suggested4
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
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machine-suggestedRelational suggestion, not evidence.
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machine-suggestedRelational suggestion, not evidence.
- Same method familySubjectivity Detection
machine-suggestedRelational suggestion, not evidence.
- Same method familyText Classification
machine-suggestedRelational suggestion, not evidence.