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 211–220 of 284 papers

TitleStatusHype
Argumentation Synthesis following Rhetorical Strategies—0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
Argumentative texts and clause types—0
Argument Component Classification for Classroom Discussions—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
Argument Harvesting Using Chatbots—0
Argument Mining: A Survey—0
Argument Mining: Extracting Arguments from Online Dialogue—0
Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead—0
Argument Mining for Understanding Peer Reviews—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified