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 201–210 of 284 papers

TitleStatusHype
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum—0
An Argument-Annotated Corpus of Scientific Publications—0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
A News Editorial Corpus for Mining Argumentation Strategies—0
Annotating Claims in the Vaccination Debate—0
Annotation of argument structure in Japanese legal documents—0
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments—0
A Preliminary Study of Disputation Behavior in Online Debating Forum—0
Argumentation: Content, Structure, and Relationship with Essay Quality—0
Argumentation Quality Assessment: Theory vs. Practice—0
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1TACOmacro F185.06—Unverified