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
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld—0
Unshared Task at the 3rd Workshop on Argument Mining: Perspective Based Local Agreement and Disagreement in Online Debate—0
Unshared task: (Dis)agreement in online debates—0
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates—0
Expert Stance Graphs for Computational Argumentation—0
Rhetorical structure and argumentation structure in monologue text—0
Scrutable Feature Sets for Stance Classification—0
Recognizing the Absence of Opposing Arguments in Persuasive Essays—0
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified