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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 276–284 of 284 papers

Title	Date	Tasks	Status	Hype
DART: a Dataset of Arguments and their Relations on Twitter	May 1, 2016	Argument Mining	—Unverified	0
Argument Mining: Extracting Arguments from Online Dialogue	Sep 1, 2015	Argument MiningDomain Adaptation	—Unverified	0
Combining Argument Mining Techniques	Jun 1, 2015	Argument MiningOpinion Mining	—Unverified	0
Extracting Argument and Domain Words for Identifying Argument Components in Texts	Jun 1, 2015	Argument MiningOpinion Mining	—Unverified	0
Processing Discourse in Dislog on the TextCoop Platform	Aug 1, 2014	Argument Mining	—Unverified	0
Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling	Jun 1, 2014	Argument Mining	—Unverified	0
Analyzing Argumentative Discourse Units in Online Interactions	Jun 1, 2014	Argument Mining	—Unverified	0
Ontology-Based Argument Mining and Automatic Essay Scoring	Jun 1, 2014	Argument Mining	—Unverified	0
Re-using an Argument Corpus to Aid in the Curation of Social Media Collections	May 1, 2014	Argument MiningBIG-bench Machine Learning	—Unverified	0

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Benchmark Results

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