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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 41–50 of 284 papers

Title	Date	Tasks	Status	Hype	Score
Classification and Clustering of Arguments with Contextualized Word Embeddings	Jun 24, 2019	Argument MiningClassification	CodeCode Available	0	5
A Bayesian Approach for Sequence Tagging with Crowds	Nov 2, 2018	Active LearningArgument Mining	CodeCode Available	0	5
Active Learning for Argument Strength Estimation	Sep 23, 2021	Active LearningArgument Mining	CodeCode Available	0	5
Cross-Lingual Argumentative Relation Identification: from English to Portuguese	Nov 1, 2018	Argument MiningRelation	CodeCode Available	0	5
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared task	Nov 14, 2023	Argument MiningStance Detection	CodeCode Available	0	5
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques	Jul 4, 2024	Argument MiningCross-Lingual Transfer	CodeCode Available	0	5
Automatic Analysis of Substantiation in Scientific Peer Reviews	Nov 20, 2023	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
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd	Jun 1, 2019	Argument Mining	CodeCode Available	0	5

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Benchmark Results

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