SOTAVerified

Argument Mining

Argument Mining is a field of corpus-based discourse analysis that involves the automatic identification of argumentative structures in text.

Source: AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

Papers

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Showing 21–30 of 284 papers

TitleStatusHype
Advances in Argument Mining—0
Argumentation Synthesis following Rhetorical Strategies—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Annotating Claims in the Vaccination Debate—0
Annotation of argument structure in Japanese legal documents—0
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified