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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 231–240 of 284 papers

Title	Date	Tasks	Status	Hype
Unit Segmentation of Argumentative Texts	Sep 1, 2017	Argument MiningSegmentation	CodeCode Available	0
Cross-Lingual Argumentative Relation Identification: from English to Portuguese	Nov 1, 2018	Argument MiningRelation	CodeCode Available	0
Cross-lingual Argument Mining in the Medical Domain	Jan 25, 2023	Argument MiningData Augmentation	CodeCode Available	0
TACO -- Twitter Arguments from COnversations	Mar 30, 2024	Argument Mining	CodeCode Available	0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets	May 23, 2022	Argument MiningBenchmarking	CodeCode Available	0
Reports of personal experiences and stories in argumentation: datasets and analysis	May 1, 2022	Argument Miningdomain classification	CodeCode Available	0
TARGER: Neural Argument Mining at Your Fingertips	Jul 1, 2019	Argument MiningRetrieval	CodeCode Available	0
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
Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features	Nov 1, 2021	Argument MiningWord Embeddings	CodeCode Available	0
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates	Jul 1, 2019	Argument Mining	CodeCode Available	0

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Benchmark Results

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