SOTAVerified

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

Showing 251275 of 284 papers

TitleStatusHype
Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student WritingCode0
Fine-Grained Argument Unit Recognition and ClassificationCode0
EDU-AP: Elementary Discourse Unit based Argument ParserCode0
Key Point Analysis via Contrastive Learning and Extractive Argument SummarizationCode0
KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument MiningCode0
KGAP: Knowledge Graph Augmented Political Perspective Detection in News MediaCode0
Annotation and Detection of Arguments in TweetsCode0
Leveraging Context for Multimodal Fallacy Classification in Political DebatesCode0
Overview of the 2022 Validity and Novelty Prediction Shared TaskCode0
End-to-End Argument Mining over Varying Rhetorical StructuresCode0
Where is Your Evidence: Improving Fact-checking by Justification ModelingCode0
Enhancing Legal Argument Mining with Domain Pre-training and Neural NetworksCode0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Visualizing the Flow of Discourse with a Concept OntologyCode0
Parsing Argumentative Structure in English-as-Foreign-Language EssaysCode0
Scaling up Discourse Quality Annotation for Political ScienceCode0
Annotating Arguments in a Corpus of Opinion ArticlesCode0
Combining Transformers with Natural Language ExplanationsCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Exploring Morality in ArgumentationCode0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific WritingCode0
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument MiningCode0
The Sensitivity of Annotator Bias to Task Definitions in Argument MiningCode0
Extracting Implicitly Asserted Propositions in ArgumentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06Unverified