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 191–200 of 284 papers

TitleStatusHype
A Corpus of Annotated Revisions for Studying Argumentative Writing—0
A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues—0
A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments—0
Active Learning for Argument Mining: A Practical Approach—0
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining—0
Advances in Argument Mining—0
Advances in Debating Technologies: Building AI That Can Debate Humans—0
A Hybrid Intelligence Method for Argument Mining—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
Analyzing Argumentative Discourse Units in Online Interactions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified