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
Corpus for Modeling User Interactions in Online Persuasive Discussions—0
AMPERSAND: Argument Mining for PERSuAsive oNline DiscussionsCode1
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
Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts—0
Segmentation of Argumentative Texts with Contextualised Word Representations—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified