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 121–130 of 284 papers

TitleStatusHype
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Evidence Type Classification in Randomized Controlled Trials—0
Annotation of argument structure in Japanese legal documents—0
Expert Stance Graphs for Computational Argumentation—0
Defeasible AceRules: A Prototype—0
Argument Mining using BERT and Self-Attention based Embeddings—0
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction—0
Argument Mining: the Bottleneck of Knowledge and Language Resources—0
Dave the debater: a retrieval-based and generative argumentative dialogue agent—0
Argument Mining on Twitter: Arguments, Facts and Sources—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified