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 221–230 of 284 papers

TitleStatusHype
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models—0
Proceedings of the 4th Workshop on Argument Mining—0
Projection of Argumentative Corpora from Source to Target Languages—0
Annotation of argument structure in Japanese legal documents—0
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum—0
Toward Stance Classification Based on Claim Microstructures—0
Unit Segmentation of Argumentative TextsCode0
Unsupervised corpus--wide claim detection—0
Unsupervised Detection of Argumentative Units though Topic Modeling Techniques—0
Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified