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 251–260 of 284 papers

TitleStatusHype
Context-aware Argumentative Relation Mining—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
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews—0
Summarising the points made in online political debates—0
Summarizing Multi-Party Argumentative Conversations in Reader Comment on News—0
Recognizing the Absence of Opposing Arguments in Persuasive Essays—0
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms—0
The CASS Technique for Evaluating the Performance of Argument Mining—0
Identifying Argument Components through TextRank—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified