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 61–70 of 284 papers

TitleStatusHype
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Overview of the 2022 Validity and Novelty Prediction Shared TaskCode0
Is Your Perspective Also My Perspective? Enriching Prediction with SubjectivityCode0
Detecting Arguments in CJEU Decisions on Fiscal State AidCode1
On Selecting Training Corpora for Cross-Domain Claim Detection—0
Dialo-AP: A Dependency Parsing Based Argument Parser for DialoguesCode0
Predicting the Presence of Reasoning Markers in Argumentative Text—0
Boundary Detection and Categorization of Argument Aspects via Supervised LearningCode0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction—0
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness MiningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified