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
Argument Summarization and its Evaluation in the Era of Large Language Models—0
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection—0
End-to-End Argumentation Mining in Student Essays—0
A Generative Marker Enhanced End-to-End Framework for Argument Mining—0
Argument Relation Classification Using a Joint Inference Model—0
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture—0
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Annotation of argument structure in Japanese legal documents—0
Defeasible AceRules: A Prototype—0
Show:102550
← PrevPage 12 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified