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 131–140 of 284 papers

TitleStatusHype
"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays—0
Multi-Task Attentive Residual Networks for Argument MiningCode1
Contextual Argument Component Classification for Class Discussions—0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online ContentCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
ECHR: Legal Corpus for Argument Mining—0
Annotation and Detection of Arguments in TweetsCode0
Exploring Morality in ArgumentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified