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 91–100 of 284 papers

TitleStatusHype
Automatic Analysis of Substantiation in Scientific Peer ReviewsCode0
Enhancing Legal Argument Mining with Domain Pre-training and Neural NetworksCode0
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Reports of personal experiences and stories in argumentation: datasets and analysisCode0
Fine-Grained Argument Unit Recognition and ClassificationCode0
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge GraphsCode0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
Assisted Debate Builder with Large Language Models—0
Show:102550
← PrevPage 10 of 29Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified