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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 61–70 of 284 papers

Title	Date	Tasks	Status	Hype	Score
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd	Jun 1, 2019	Argument Mining	CodeCode Available	0	5
Are Large Language Models Reliable Argument Quality Annotators?	Apr 15, 2024	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
Boundary Detection and Categorization of Argument Aspects via Supervised Learning	Oct 1, 2022	Argument MiningBoundary Detection	CodeCode Available	0	5
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study	Jul 4, 2022	Argument MiningInformation Retrieval	CodeCode Available	0	5
A Bayesian Approach for Sequence Tagging with Crowds	Nov 2, 2018	Active LearningArgument Mining	CodeCode Available	0	5
Automatic Analysis of Substantiation in Scientific Peer Reviews	Nov 20, 2023	Argument Mining	CodeCode Available	0	5
Categorizing Comparative Sentences	Sep 17, 2018	Argument MiningSentence	CodeCode Available	0	5
Classification and Clustering of Arguments with Contextualized Word Embeddings	Jun 24, 2019	Argument MiningClassification	CodeCode Available	0	5
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?	Mar 24, 2022	Argument MiningLanguage Modeling	CodeCode Available	0	5

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Benchmark Results

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