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 261–270 of 284 papers

TitleStatusHype
Expert Stance Graphs for Computational Argumentation—0
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)—0
Claim Synthesis via Predicate Recycling—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Towards Feasible Guidelines for the Annotation of Argument Schemes—0
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Argumentative texts and clause types—0
``What Is Your Evidence?'' A Study of Controversial Topics on Social Media—0
Scrutable Feature Sets for Stance Classification—0
Rhetorical structure and argumentation structure in monologue text—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified