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 276–284 of 284 papers

TitleStatusHype
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best PracticesCode0
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument TemplatesCode0
Few-Shot Learning for Argument Aspects of the Nuclear Energy DebateCode0
Transferring Confluent Knowledge to Argument MiningCode0
Argument Mining with Structured SVMs and RNNsCode0
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument MiningCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
What is the Essence of a Claim? Cross-Domain Claim IdentificationCode0
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot TechniquesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified