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 41–50 of 284 papers

TitleStatusHype
Assisted Debate Builder with Large Language Models—0
DMON: A Simple yet Effective Approach for Argument Structure LearningCode0
WIBA: What Is Being Argued? A Comprehensive Approach to Argument MiningCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Are Large Language Models Reliable Argument Quality Annotators?Code0
A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and QualityCode0
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents—0
TACO -- Twitter Arguments from COnversationsCode0
Efficient argument classification with compact language models and ChatGPT-4 refinements—0
A Hybrid Intelligence Method for Argument Mining—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified