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 271–280 of 284 papers

TitleStatusHype
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific WritingCode0
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument MiningCode0
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
Extracting Implicitly Asserted Propositions in ArgumentationCode0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified