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 181–190 of 284 papers

TitleStatusHype
Using context to identify the language of face-saving—0
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach—0
``What Is Your Evidence?'' A Study of Controversial Topics on Social Media—0
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld—0
What works and what does not: Classifier and feature analysis for argument mining—0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction—0
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts—0
200K+ Crowdsourced Political Arguments for a New Chilean Constitution—0
A Cascade Model for Proposition Extraction in Argumentation—0
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified