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 21–30 of 284 papers

TitleStatusHype
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and EvaluationCode0
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
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal DomainCode1
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents—0
TACO -- Twitter Arguments from COnversationsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified