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
Claim Synthesis via Predicate Recycling—0
Context-aware Argumentative Relation Mining—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
Extracting Argument and Domain Words for Identifying Argument Components in Texts—0
Combining Argument Mining Techniques—0
Processing Discourse in Dislog on the TextCoop Platform—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified