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 91–100 of 284 papers

TitleStatusHype
Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student WritingCode0
RuArg-2022: Argument Mining Evaluation—0
Incorporating Zoning Information into Argument Mining from Biomedical Literature—0
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
Scaling up Discourse Quality Annotation for Political ScienceCode0
Annotating Arguments in a Corpus of Opinion ArticlesCode0
Few-Shot Learning for Argument Aspects of the Nuclear Energy DebateCode0
GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change—0
QT30: A Corpus of Argument and Conflict in Broadcast Debate—0
Budget Argument Mining Dataset Using Japanese Minutes from the National Diet and Local Assemblies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified