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 181–190 of 284 papers

TitleStatusHype
Incorporating Topic Aspects for Online Comment Convincingness Evaluation—0
Proceedings of the 5th Workshop on Argument Mining—0
More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing—0
Cross-Lingual Argumentative Relation Identification: from English to PortugueseCode0
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument TemplatesCode0
Using context to identify the language of face-saving—0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Dave the debater: a retrieval-based and generative argumentative dialogue agent—0
Evidence Type Classification in Randomized Controlled Trials—0
Where is Your Evidence: Improving Fact-checking by Justification ModelingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified