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 201–225 of 284 papers

TitleStatusHype
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention—0
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment—0
Lexicon Guided Attentive Neural Network Model for Argument Mining—0
Lightly-Supervised Modeling of Argument Persuasiveness—0
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments—0
Automatic Analysis of Substantiation in Scientific Peer ReviewsCode0
A Bayesian Approach for Sequence Tagging with CrowdsCode0
Boundary Detection and Categorization of Argument Aspects via Supervised LearningCode0
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyCode0
GRhOOT: Ontology of Rhetorical Figures in GermanCode0
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
Classification and Clustering of Arguments with Contextualized Word EmbeddingsCode0
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation SchemesCode0
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case StudyCode0
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative ApproachCode0
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness MiningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified