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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 71–80 of 284 papers

Title	Date	Tasks	Status	Hype	Score
A Bayesian Approach for Sequence Tagging with Crowds	Nov 2, 2018	Active LearningArgument Mining	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
Automatic Analysis of Substantiation in Scientific Peer Reviews	Nov 20, 2023	Argument Mining	CodeCode Available	0	5
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web	Aug 19, 2021	Argument MiningRepresentation Learning	CodeCode Available	0	5
DMON: A Simple yet Effective Approach for Argument Structure Learning	May 2, 2024	Argument Mining	CodeCode Available	0	5
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?	Nov 1, 2021	Argument MiningClassification	CodeCode Available	0	5
EDU-AP: Elementary Discourse Unit based Argument Parser	Sep 1, 2022	Argument MiningDependency Parsing	CodeCode Available	0	5
Classification and Clustering of Arguments with Contextualized Word Embeddings	Jun 24, 2019	Argument MiningClassification	CodeCode Available	0	5
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning	Apr 17, 2024	Argument Mininggraph partitioning	CodeCode Available	0	5
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining	Sep 14, 2022	Argument MiningPersuasiveness	CodeCode Available	0	5

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Benchmark Results

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