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 271–280 of 284 papers

TitleStatusHype
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates—0
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld—0
End-to-End Argumentation Mining in Student Essays—0
A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues—0
Argument Mining: the Bottleneck of Knowledge and Language Resources—0
DART: a Dataset of Arguments and their Relations on Twitter—0
Argument Mining: Extracting Arguments from Online Dialogue—0
Combining Argument Mining Techniques—0
Extracting Argument and Domain Words for Identifying Argument Components in Texts—0
Processing Discourse in Dislog on the TextCoop Platform—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified