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 151–160 of 284 papers

TitleStatusHype
The Discussion Tracker Corpus of Collaborative Argumentation—0
Corpus for Modeling User Interactions in Online Persuasive Discussions—0
Unsupervised Argumentation Mining in Student Essays—0
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
Argument Mining: A Survey—0
Corpus Wide Argument Mining -- a Working Solution—0
Argument Component Classification for Classroom Discussions—0
Proceedings of the 6th Workshop on Argument Mining—0
A Cascade Model for Proposition Extraction in Argumentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified