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 221–230 of 284 papers

TitleStatusHype
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate—0
Argument Mining on Twitter: Arguments, Facts and Sources—0
Argument Mining: the Bottleneck of Knowledge and Language Resources—0
Argument Mining using BERT and Self-Attention based Embeddings—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Argument Relation Classification Using a Joint Inference Model—0
Argument Summarization and its Evaluation in the Era of Large Language Models—0
A Robustness Evaluation Framework for Argument Mining—0
Assisted Debate Builder with Large Language Models—0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
Show:102550
← PrevPage 23 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified