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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 21–30 of 284 papers

Title	Date	Tasks	Status	Hype	Score
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
Annotation and Detection of Arguments in Tweets	Dec 1, 2020	Argument Mining	CodeCode Available	0	5
Boundary Detection and Categorization of Argument Aspects via Supervised Learning	Oct 1, 2022	Argument MiningBoundary Detection	CodeCode Available	0	5
Annotating Arguments in a Corpus of Opinion Articles	Jun 1, 2022	Argument MiningArticles	CodeCode Available	0	5
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices	May 1, 2018	Argument Mining	CodeCode Available	0	5
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?	Mar 24, 2022	Argument MiningLanguage Modeling	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
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach	May 31, 2023	Argument MiningStance Classification	CodeCode Available	0	5
A Bayesian Approach for Sequence Tagging with Crowds	Nov 2, 2018	Active LearningArgument Mining	CodeCode Available	0	5

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Benchmark Results

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