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 101–110 of 284 papers

TitleStatusHype
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
Defeasible AceRules: A Prototype—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
200K+ Crowdsourced Political Arguments for a New Chilean Constitution—0
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event—0
Efficient argument classification with compact language models and ChatGPT-4 refinements—0
Annotation of argument structure in Japanese legal documents—0
ECHR: Legal Corpus for Argument Mining—0
A Hybrid Intelligence Method for Argument Mining—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified