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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 284 papers

TitleStatusHype
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies—0
Annotating Arguments in a Corpus of Opinion ArticlesCode0
Scaling up Discourse Quality Annotation for Political ScienceCode0
GRhOOT: Ontology of Rhetorical Figures in GermanCode0
Few-Shot Learning for Argument Aspects of the Nuclear Energy DebateCode0
QT30: A Corpus of Argument and Conflict in Broadcast Debate—0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsCode0
Towards a Holistic View on Argument Quality Prediction—0
Identifying the Human Values behind ArgumentsCode1
Show:102550
← PrevPage 9 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified