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 241–250 of 284 papers

TitleStatusHype
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge GraphsCode0
Assessing Convincingness of Arguments in Online Debates with Limited Number of FeaturesCode0
Is Your Perspective Also My Perspective? Enriching Prediction with SubjectivityCode0
Aspect-Based Argument MiningCode0
"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language ModelsCode0
DESYR: Definition and Syntactic Representation Based Claim Detection on the WebCode0
A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and QualityCode0
Dialo-AP: A Dependency Parsing Based Argument Parser for DialoguesCode0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
DMON: A Simple yet Effective Approach for Argument Structure LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified