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 231–240 of 284 papers

TitleStatusHype
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
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach—0
A Corpus of Annotated Revisions for Studying Argumentative Writing—0
Argumentation Quality Assessment: Theory vs. Practice—0
What is the Essence of a Claim? Cross-Domain Claim IdentificationCode0
Argument Mining with Structured SVMs and RNNsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified