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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–40 of 284 papers

Title	Date	Tasks	Status	Hype	Score
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?	Nov 1, 2021	Argument MiningClassification	CodeCode Available	0	5
Active Learning for Argument Strength Estimation	Sep 23, 2021	Active LearningArgument Mining	CodeCode Available	0	5
Classification and Clustering of Arguments with Contextualized Word Embeddings	Jun 24, 2019	Argument MiningClassification	CodeCode Available	0	5
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures	Oct 7, 2024	Argument MiningMedical Question Answering	CodeCode Available	0	5
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?	Mar 24, 2022	Argument MiningLanguage Modeling	CodeCode Available	0	5
Categorizing Comparative Sentences	Sep 17, 2018	Argument MiningSentence	CodeCode Available	0	5
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes	May 17, 2021	Argument MiningRelation	CodeCode Available	0	5
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd	Jun 1, 2019	Argument Mining	CodeCode Available	0	5
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study	Sep 15, 2023	Argument MiningIn-Context Learning	CodeCode Available	0	5
Assessing Convincingness of Arguments in Online Debates with Limited Number of Features	Apr 1, 2017	Argument Mining	CodeCode Available	0	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TACO	macro F1	85.06	—	Unverified