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

Showing 8190 of 284 papers

TitleStatusHype
Few-Shot Learning for Argument Aspects of the Nuclear Energy DebateCode0
Automatic Analysis of Substantiation in Scientific Peer ReviewsCode0
Cross-lingual Argument Mining in the Medical DomainCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
Dialo-AP: A Dependency Parsing Based Argument Parser for DialoguesCode0
Combining Transformers with Natural Language ExplanationsCode0
Active Learning for Argument Strength EstimationCode0
Is Your Perspective Also My Perspective? Enriching Prediction with SubjectivityCode0
Cross-Lingual Argumentative Relation Identification: from English to PortugueseCode0
Tree-Constrained Graph Neural Networks For Argument MiningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06Unverified