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

  1. 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.