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
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and EvaluationCode0
Multimodal Argument Mining: A Case Study in Political DebatesCode0
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?Code0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
Categorizing Comparative SentencesCode0
Active Learning for Argument Strength EstimationCode0
Are Large Language Models Reliable Argument Quality Annotators?Code0
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?Code0
Tree-Constrained Graph Neural Networks For Argument MiningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified