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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 284 papers

TitleStatusHype
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument MiningCode0
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents—0
Cross-lingual Argument Mining in the Medical DomainCode0
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts—0
Multi-granularity Argument Mining in Legal Texts—0
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19—0
Boundary Detection and Categorization of Argument Aspects via Supervised LearningCode0
A Robustness Evaluation Framework for Argument Mining—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Is Your Perspective Also My Perspective? Enriching Prediction with SubjectivityCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified