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 111–120 of 284 papers

TitleStatusHype
Project Debater APIs: Decomposing the AI Grand Challenge—0
Key Point Analysis via Contrastive Learning and Extractive Argument SummarizationCode0
Active Learning for Argument Mining: A Practical Approach—0
Active Learning for Argument Strength EstimationCode0
Combining Transformers with Natural Language ExplanationsCode0
Tree-Constrained Graph Neural Networks For Argument MiningCode0
DESYR: Definition and Syntactic Representation Based Claim Detection on the WebCode0
KGAP: Knowledge Graph Augmented Political Perspective Detection in News MediaCode0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
Towards Argument Mining for Social Good: A Survey—0
Show:102550
← PrevPage 12 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified