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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 284 papers

TitleStatusHype
Are Large Language Models Reliable Argument Quality Annotators?Code0
A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and QualityCode0
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal DomainCode1
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents—0
TACO -- Twitter Arguments from COnversationsCode0
Efficient argument classification with compact language models and ChatGPT-4 refinements—0
A Hybrid Intelligence Method for Argument Mining—0
NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes—0
Can Large Language Models perform Relation-based Argument Mining?—0
End-to-End Argument Mining over Varying Rhetorical StructuresCode0
Automatic Analysis of Substantiation in Scientific Peer ReviewsCode0
Exploring the Potential of Large Language Models in Computational ArgumentationCode1
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared taskCode0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument MiningCode0
"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language ModelsCode0
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining—0
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyCode0
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources—0
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge GraphsCode0
Multi-Task Learning Improves Performance In Deep Argument Mining Models—0
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?—0
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative ApproachCode0
Argument Mining using BERT and Self-Attention based Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TACOmacro F185.06—Unverified