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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

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Showing 51–60 of 284 papers

Title	Date	Tasks	Status	Hype	Score
Argument Mining with Structured SVMs and RNNs	Apr 23, 2017	Argument MiningGeneral Classification	CodeCode Available	0	5
Annotation and Detection of Arguments in Tweets	Dec 1, 2020	Argument Mining	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
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
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
Aspect-Based Argument Mining	Nov 1, 2020	Argument MiningTerm Extraction	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
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

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Benchmark Results

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