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

Showing 251260 of 284 papers

TitleStatusHype
Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student WritingCode0
Fine-Grained Argument Unit Recognition and ClassificationCode0
EDU-AP: Elementary Discourse Unit based Argument ParserCode0
Key Point Analysis via Contrastive Learning and Extractive Argument SummarizationCode0
KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument MiningCode0
KGAP: Knowledge Graph Augmented Political Perspective Detection in News MediaCode0
Annotation and Detection of Arguments in TweetsCode0
Leveraging Context for Multimodal Fallacy Classification in Political DebatesCode0
Overview of the 2022 Validity and Novelty Prediction Shared TaskCode0
End-to-End Argument Mining over Varying Rhetorical StructuresCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06Unverified