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 51–60 of 284 papers

TitleStatusHype
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—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
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments—0
A Robustness Evaluation Framework for Argument Mining—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Can Large Language Models perform Relation-based Argument Mining?—0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
Assisted Debate Builder with Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified