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 261–270 of 284 papers

TitleStatusHype
Where is Your Evidence: Improving Fact-checking by Justification ModelingCode0
Enhancing Legal Argument Mining with Domain Pre-training and Neural NetworksCode0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Visualizing the Flow of Discourse with a Concept OntologyCode0
Parsing Argumentative Structure in English-as-Foreign-Language EssaysCode0
Scaling up Discourse Quality Annotation for Political ScienceCode0
Annotating Arguments in a Corpus of Opinion ArticlesCode0
Combining Transformers with Natural Language ExplanationsCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Exploring Morality in ArgumentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified