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 131–140 of 284 papers

TitleStatusHype
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate—0
Annotating Claims in the Vaccination Debate—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks—0
DART: a Dataset of Arguments and their Relations on Twitter—0
CRST: a Claim Retrieval System in Twitter—0
Cross-topic Argument Mining from Heterogeneous Sources—0
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks—0
Argument Mining for Understanding Peer Reviews—0
A News Editorial Corpus for Mining Argumentation Strategies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified